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ORCIDIEEE/ACM Transactions on Computational Biology and Bioinformatics, Volume 18
Volume 18, Number 1, January - February 2021
- Carlos Martín-Vide, Miguel A. Vega-Rodríguez
:
Algorithms for Computational Biology: Sixth Edition. 1 - Thien Le, Aaron Sy, Erin K. Molloy, Qiuyi Zhang, Satish Rao, Tandy J. Warnow:
Using Constrained-INC for Large-Scale Gene Tree and Species Tree Estimation. 2-15 - Sridevi Maharaj, Taotao Qian, Zarin Ohiba, Wayne B. Hayes:
Common Neighbors Extension of the Sticky Model for PPI Networks Evaluated by Global and Local Graphlet Similarity. 16-26 - Peng Xiao, Xingyu Cai, Sanguthevar Rajasekaran:
EMS3: An Improved Algorithm for Finding Edit-Distance Based Motifs. 27-37 - Liu Liu, Reza Zare, Shuihua Wang:
Guest Editorial: Transfer Learning Methods Used in Medical Imaging and Health Informatics. 38-39 - Yizhang Jiang, Xiaoqing Gu, Dongrui Wu, Wenlong Hang, Jing Xue, Shi Qiu, Chin-Teng Lin:
A Novel Negative-Transfer-Resistant Fuzzy Clustering Model With a Shared Cross-Domain Transfer Latent Space and its Application to Brain CT Image Segmentation. 40-52 - Kaijian Xia, Tongguang Ni, Hongsheng Yin, Bo Chen:
Cross-Domain Classification Model With Knowledge Utilization Maximization for Recognition of Epileptic EEG Signals. 53-61 - Chenxi Huang, Yisha Lan, Gaowei Xu, Xiaojun Zhai, Jipeng Wu, Fan Lin, Nianyin Zeng, Qingqi Hong, E. Y. K. Ng, Yonghong Peng, Fei Chen, Guokai Zhang:
A Deep Segmentation Network of Multi-Scale Feature Fusion Based on Attention Mechanism for IVOCT Lumen Contour. 62-69 - Pengjiang Qian, Jiamin Zheng, Qiankun Zheng, Yuan Liu, Tingyu Wang, Rose Al Helo, Atallah Baydoun, Norbert Avril, Rodney J. Ellis, Harry Friel, Melanie S. Traughber, Ajit Devaraj, Bryan J. Traughber, Raymond F. Muzic Jr.:
Transforming UTE-mDixon MR Abdomen-Pelvis Images Into CT by Jointly Leveraging Prior Knowledge and Partial Supervision. 70-82 - Rishav Singh, Tanveer Ahmed, Abhinav Kumar, Amit Kumar Singh, Anil Kumar Pandey, Sanjay Kumar Singh:
Imbalanced Breast Cancer Classification Using Transfer Learning. 83-93 - Xiang Yu, Cheng Kang, David S. Guttery, Seifedine Nimer Kadry, Yang Chen, Yu-Dong Zhang:
ResNet-SCDA-50 for Breast Abnormality Classification. 94-102 - Jintai Chen, Haochao Ying, Xuechen Liu, Jingjing Gu, Ruiwei Feng, Tingting Chen, Honghao Gao, Jian Wu:
A Transfer Learning Based Super-Resolution Microscopy for Biopsy Slice Images: The Joint Methods Perspective. 103-113 - Yong Jin, Zhenjiang Qian, Shengrong Gong, Weiyong Yang:
Learning Transferable Driven and Drone Assisted Sustainable and Robust Regional Disease Surveillance for Smart Healthcare. 114-125 - Hansaim Lim, Lei Xie:
A New Weighted Imputed Neighborhood-Regularized Tri-Factorization One-Class Collaborative Filtering Algorithm: Application to Target Gene Prediction of Transcription Factors. 126-137 - Daniel R. Allen, Sharma V. Thankachan, Bojian Xu:
An Ultra-Fast and Parallelizable Algorithm for Finding $k$k-Mismatch Shortest Unique Substrings. 138-148 - Pawel Tabaszewski, Pawel Górecki, Alexey Markin, Tavis K. Anderson, Oliver Eulenstein:
Consensus of All Solutions for Intractable Phylogenetic Tree Inference. 149-161 - Srilakshmi Pattabiraman, Tandy J. Warnow:
Profile Hidden Markov Models Are Not Identifiable. 162-172 - Jiaqi Guan, Runzhe Li, Sheng Yu, Xuegong Zhang:
A Method for Generating Synthetic Electronic Medical Record Text. 173-182 - Ruiqi Qin, Lei Duan, Huiru Zheng, Jesse Li-Ling, Kaiwen Song, Yidan Zhang:
An Ontology-Independent Representation Learning for Similar Disease Detection Based on Multi-Layer Similarity Network. 183-193 - Wei Long, Tiange Li, Yang Yang, Hong-Bin Shen:
FlyIT: Drosophila Embryogenesis Image Annotation based on Image Tiling and Convolutional Neural Networks. 194-204 - Suyang Dai, Yuxia Ding, Zihan Zhang, Wenxuan Zuo, Xiaodi Huang, Shanfeng Zhu:
GrantExtractor: Accurate Grant Support Information Extraction from Biomedical Fulltext Based on Bi-LSTM-CRF. 205-215 - Bo Yang, Yupei Zhang, Shanmin Pang, Xuequn Shang, Xueqing Zhao, Minghui Han:
Integrating Multi-Omic Data With Deep Subspace Fusion Clustering for Cancer Subtype Prediction. 216-226 - Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, Lei Guo, Li Shen:
Multi-Task Sparse Canonical Correlation Analysis with Application to Multi-Modal Brain Imaging Genetics. 227-239 - Jianliang Gao, Ling Tian, Tengfei Lv, Jianxin Wang, Bo Song, Xiaohua Hu:
Protein2Vec: Aligning Multiple PPI Networks with Representation Learning. 240-249 - Cameron T. Chalk, Niels Kornerup, Wyatt Reeves, David Soloveichik:
Composable Rate-Independent Computation in Continuous Chemical Reaction Networks. 250-260 - Sara-Jane Dunn, Hillel Kugler, Boyan Yordanov:
Formal Analysis of Network Motifs Links Structure to Function in Biological Programs. 261-271 - Pavol Bokes, Michal Hojcka, Abhyudai Singh:
MicroRNA Based Feedforward Control of Intrinsic Gene Expression Noise. 272-282 - Keenan Breik, Cameron T. Chalk, David Doty, David Haley, David Soloveichik:
Programming Substrate-Independent Kinetic Barriers With Thermodynamic Binding Networks. 283-295 - Min Zeng, Min Li, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Yi Pan, Jianxin Wang:
A Deep Learning Framework for Identifying Essential Proteins by Integrating Multiple Types of Biological Information. 296-305 - Quanhua Mu, Jiguang Wang:
CNAPE: A Machine Learning Method for Copy Number Alteration Prediction from Gene Expression. 306-311 - Limin Li, Menglan Cai:
Cross-species Data Classification by Domain Adaptation via Discriminative Heterogeneous Maximum Mean Discrepancy. 312-324 - Yubo Wang, Yijie Ding, Jijun Tang, Yu Dai, Fei Guo:
CrystalM: A Multi-View Fusion Approach for Protein Crystallization Prediction. 325-335 - Haixia Shang, Zhi-Ping Liu:
Prioritizing Type 2 Diabetes Genes by Weighted PageRank on Bilayer Heterogeneous Networks. 336-346 - Ruiqing Zheng, Min Li, Xiang Chen, Siyu Zhao, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
An Ensemble Method to Reconstruct Gene Regulatory Networks Based on Multivariate Adaptive Regression Splines. 347-354 - Fang Jing, Shao-Wu Zhang, Zhen Cao, Shihua Zhang:
An Integrative Framework for Combining Sequence and Epigenomic Data to Predict Transcription Factor Binding Sites Using Deep Learning. 355-364 - Tunazzina Islam, Desh Ranjan, Mohammad Zubair, Eleanor Young, Ming Xiao, Harold Riethman:
Analysis of Subtelomeric REXTAL Assemblies Using QUAST. 365-372 - Yue Zhao, Dong-Guk Shin:
Deep Pathway Analysis V2.0: A Pathway Analysis Framework Incorporating Multi-Dimensional Omics Data. 373-385 - Daniel W. Schultz, Bojian Xu:
Parallel Methods for Finding $k$k-Mismatch Shortest Unique Substrings Using GPU. 386-395
Volume 18, Number 2, March - April 2021
- Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Wei Xiong, Yen-Wei Chen:
A Cascade of 2.5D CNN and Bidirectional CLSTM Network for Mitotic Cell Detection in 4D Microscopy Image. 396-404 - Wen Zhang, Zhishuai Li, Wenzheng Guo, Weitai Yang, Feng Huang:
A Fast Linear Neighborhood Similarity-Based Network Link Inference Method to Predict MicroRNA-Disease Associations. 405-415 - Biing-Feng Wang, Krister M. Swenson:
A Faster Algorithm for Computing the Kernel of Maximum Agreement Subtrees. 416-430 - Yunpei Xu, Hong-Dong Li, Yi Pan, Feng Luo, Fang-Xiang Wu, Jianxin Wang:
A Gene Rank Based Approach for Single Cell Similarity Assessment and Clustering. 431-442 - Sahar Araghi, Thanh Nguyen:
A Hybrid Supervised Approach to Human Population Identification Using Genomics Data. 443-454 - Hsin-Hung Chou, Ching-Tien Hsu, Li-Hsuan Chen, Yue-Cheng Lin, Sun-Yuan Hsieh:
A Novel Branch-and-Bound Algorithm for the Protein Folding Problem in the 3D HP Model. 455-462 - Huimin Luo, Jianxin Wang, Cheng Yan, Min Li, Fang-Xiang Wu, Yi Pan:
A Novel Drug Repositioning Approach Based on Collaborative Metric Learning. 463-471 - Seyedeh Shaghayegh Sadeghi, Mohammad Reza Keyvanpour:
An Analytical Review of Computational Drug Repurposing. 472-488 - Anupam Banerjee, Kuntal Pal, Pralay Mitra:
An Evolutionary Profile Guided Greedy Parallel Replica-Exchange Monte Carlo Search Algorithm for Rapid Convergence in Protein Design. 489-499 - Wanrong Gu, Ziye Zhang, Xianfen Xie, Yichen He:
An Improved Muti-Task Learning Algorithm for Analyzing Cancer Survival Data. 500-511 - Kevin Chow, Aisharjya Sarkar, Rasha Elhesha, Pietro Cinaglia, Ahmet Ay, Tamer Kahveci:
ANCA: Alignment-Based Network Construction Algorithm. 512-524 - Miguel González, Cristina Gutiérrez, Rodrigo Martínez:
Bayesian Inference in Y-Linked Two-Sex Branching Processes with Mutations: ABC Approach. 525-538 - Xiguo Yuan, Jiaao Yu, Jianing Xi, Liying Yang, Junliang Shang, Zhe Li, Junbo Duan:
CNV_IFTV: An Isolation Forest and Total Variation-Based Detection of CNVs from Short-Read Sequencing Data. 539-549 - Sourav Biswas, Sumanta Ray, Sanghamitra Bandyopadhyay:
Colored Network Motif Analysis by Dynamic Programming Approach: An Application in Host Pathogen Interaction Network. 550-561 - Jacob C. Kimmel, Andrew S. Brack, Wallace F. Marshall:
Deep Convolutional and Recurrent Neural Networks for Cell Motility Discrimination and Prediction. 562-574 - Min Li, Yake Wang, Ruiqing Zheng, Xinghua Shi, Yaohang Li, Fang-Xiang Wu, Jianxin Wang:
DeepDSC: A Deep Learning Method to Predict Drug Sensitivity of Cancer Cell Lines. 575-582 - Jingrong Zhang, Zihao Wang, Zhiyong Liu, Fa Zhang:
Improve the Resolution and Parallel Performance of the Three-Dimensional Refine Algorithm in RELION Using CUDA and MPI. 583-595 - Muhammad Awais, Waqar Hussain, Yaser Daanial Khan, Nouman Rasool, Sher Afzal Khan, Kuo-Chen Chou:
iPhosH-PseAAC: Identify Phosphohistidine Sites in Proteins by Blending Statistical Moments and Position Relative Features According to the Chou's 5-Step Rule and General Pseudo Amino Acid Composition. 596-610 - Cheng Yan, Guihua Duan, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
MCHMDA: Predicting Microbe-Disease Associations Based on Similarities and Low-Rank Matrix Completion. 611-620 - Cheng Peng, Xinyu Wu, Wen Yuan, Xinran Zhang, Yu Zhang, Ying Li:
MGRFE: Multilayer Recursive Feature Elimination Based on an Embedded Genetic Algorithm for Cancer Classification. 621-632 - Alexandre Gondeau, Zahia Aouabed, Mohamed Hijri, Pedro R. Peres-Neto, Vladimir Makarenkov:
Object Weighting: A New Clustering Approach to Deal with Outliers and Cluster Overlap in Computational Biology. 633-643 - Alireza Karbalayghareh, Xiaoning Qian, Edward R. Dougherty:
Optimal Bayesian Transfer Learning for Count Data. 644-655 - Andrés F. López-Lopera, Nicolas Durrande, Mauricio A. Álvarez:
Physically-Inspired Gaussian Process Models for Post-Transcriptional Regulation in Drosophila. 656-666 - Qinhu Zhang, Zhen Shen, De-Shuang Huang:
Predicting in-vitro Transcription Factor Binding Sites Using DNA Sequence + Shape. 667-676 - Jingxuan Qiu, Tianyi Qiu, Qingli Dong, Dongpo Xu, Xiang Wang, Qi Zhang, Jing Pan, Qing Liu:
Predicting the Antigenic Relationship of Foot-and-Mouth Disease Virus for Vaccine Selection Through a Computational Model. 677-685 - Chen Zhang, Yanrui Ding:
Probing the Relation Between Community Evolution in Dynamic Residue Interaction Networks and Xylanase Thermostability. 686-696 - Gui-Jun Zhang, Tengyu Xie, Xiao-Gen Zhou, Liu-Jing Wang, Jun Hu:
Protein Structure Prediction Using Population-Based Algorithm Guided by Information Entropy. 697-707 - Saikat Biswas, Pabitra Mitra, Krothapalli Sreenivasa Rao:
Relation Prediction of Co-Morbid Diseases Using Knowledge Graph Completion. 708-717 - Xiaona Song, Mi Wang, Shuai Song, Choon Ki Ahn:
Sampled-Data State Estimation of Reaction Diffusion Genetic Regulatory Networks via Space-Dividing Approaches. 718-730 - Guimu Guo, Hongzhi Chen, Da Yan, James Cheng, Jake Y. Chen, Zechen Chong:
Scalable De Novo Genome Assembly Using a Pregel-Like Graph-Parallel System. 731-744 - Md Ekramul Hossain, Arif Khan, Mohammad Ali Moni, Shahadat Uddin:
Use of Electronic Health Data for Disease Prediction: A Comprehensive Literature Review. 745-758 - Pratik Singh, Gayadhar Pradhan:
A New ECG Denoising Framework Using Generative Adversarial Network. 759-764 - Md Anisur Rahman, Li-Minn Ang, Kah Phooi Seng:
Data Convexity and Parameter Independent Clustering for Biomedical Datasets. 765-772 - Weiyang Chen, Weiwei Li:
Definition and Usage of Texture Feature for Biological Sequence. 773-776 - Sambriddhi Mainali, Fredy A. Colorado, Max H. Garzon:
Foretelling the Phenotype of a Genomic Sequence. 777-783 - Linyu Wang, Shaoge Zheng, Hao Zhang, Zhiyang Qiu, Xiaodan Zhong, Haiming Liu, Yuanning Liu:
ncRFP: A Novel end-to-end Method for Non-Coding RNAs Family Prediction Based on Deep Learning. 784-789 - Aman Chawla, Salvatore D. Morgera, Arthur Snider:
On Axon Interaction and Its Role in Neurological Networks. 790-796 - Jia Zhu, Zetao Zheng, Min Yang, Gabriel Pui Cheong Fung, Changqin Huang:
Protein Complexes Detection Based on Semi-Supervised Network Embedding Model. 797-803 - Robert Penchovsky, Nikolet Pavlova, Dimitrios Kaloudas:
RSwitch: A Novel Bioinformatics Database on Riboswitches as Antibacterial Drug Targets. 804-808
Volume 18, Number 3, May - June 2021
- Da Yan, Sharma V. Thankachan, Jake Y. Chen:
Guest Editorial for Selected Papers From BIOKDD 2019. 809-810 - Vineet K. Raghu, Xiaoyu Ge, Arun Balajiee, Daniel J. Shirer, Isha Das, Panayiotis V. Benos, Panos K. Chrysanthis:
A Pipeline for Integrated Theory and Data-Driven Modeling of Biomedical Data. 811-822 - Tianwen Jiang, Qingkai Zeng, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
Biomedical Knowledge Graphs Construction From Conditional Statements. 823-835 - Jithin K. Sreedharan, Krzysztof Turowski, Wojciech Szpankowski:
Revisiting Parameter Estimation in Biological Networks: Influence of Symmetries. 836-849 - Ke Yan, Zhiwei Ji, Qun Jin, Qing-Guo Wang:
Guest Editorial: Machine Learning for AI-Enhanced Healthcare and Medical Services: New Development and Promising Solution. 850-851 - Sheng Lian, Lei Li, Guiren Lian, Xiao Xiao, Zhiming Luo, Shaozi Li:
A Global and Local Enhanced Residual U-Net for Accurate Retinal Vessel Segmentation. 852-862 - Huijuan Lu, Huiyun Gao, Minchao Ye, Xiuhui Wang:
A Hybrid Ensemble Algorithm Combining AdaBoost and Genetic Algorithm for Cancer Classification with Gene Expression Data. 863-870 - Xiaodan Yan, Baojiang Cui, Yang Xu, Peilin Shi, Ziqi Wang:
A Method of Information Protection for Collaborative Deep Learning under GAN Model Attack. 871-881 - Qingchen Zhang, Changchuan Bai, Laurence T. Yang, Zhikui Chen, Peng Li, Hang Yu:
A Unified Smart Chinese Medicine Framework for Healthcare and Medical Services. 882-890 - Dehua Chen, Meihua Huang, Weimin Li:
Knowledge-Powered Deep Breast Tumor Classification With Multiple Medical Reports. 891-901 - Yiyuan Chen, Yufeng Wang, Liang Cao, Qun Jin:
CCFS: A Confidence-Based Cost-Effective Feature Selection Scheme for Healthcare Data Classification. 902-911 - Xiaokang Zhou, Yue Li, Wei Liang:
CNN-RNN Based Intelligent Recommendation for Online Medical Pre-Diagnosis Support. 912-921 - Lu Yan, Weihong Huang, Liming Wang, Song Feng, Yonghong Peng, Jie Peng:
Data-Enabled Digestive Medicine: A New Big Data Analytics Platform. 922-931 - Mauricio Guevara-Souza, Edgar E. Vallejo, Karol Estrada:
Detecting Clustered Independent Rare Variant Associations Using Genetic Algorithms. 932-939 - Yongjin Zhou, Weijian Huang, Pei Dong, Yong Xia, Shanshan Wang:
D-UNet: A Dimension-Fusion U Shape Network for Chronic Stroke Lesion Segmentation. 940-950 - Yaqi Wang, Lingling Sun, Qun Jin:
Enhanced Diagnosis of Pneumothorax with an Improved Real-Time Augmentation for Imbalanced Chest X-rays Data Based on DCNN. 951-962 - Xiuhui Wang, Shiling Feng, Wei Qi Yan:
Human Gait Recognition Based on Self-Adaptive Hidden Markov Model. 963-972 - Jayanta Kumar Pal, Shubhra Sankar Ray, Sankar K. Pal:
Identifying Drug Resistant miRNAs Using Entropy Based Ranking. 973-984 - Bing Wang, Changqing Mei, Yuanyuan Wang, Yuming Zhou, Mu-Tian Cheng, Chunhou Zheng, Lei Wang, Jun Zhang, Peng Chen, Yan Xiong:
Imbalance Data Processing Strategy for Protein Interaction Sites Prediction. 985-994 - Xiran Jiang, Jiaxin Li, Yangyang Kan, Tao Yu, Shijie Chang, Xianzheng Sha, Hairong Zheng, Yahong Luo, Shanshan Wang:
MRI Based Radiomics Approach With Deep Learning for Prediction of Vessel Invasion in Early-Stage Cervical Cancer. 995-1002 - Cheng Li, Jingxu Xu, Qiegen Liu, Yongjin Zhou, Lisha Mou, Zuhui Pu, Yong Xia, Hairong Zheng, Shanshan Wang:
Multi-View Mammographic Density Classification by Dilated and Attention-Guided Residual Learning. 1003-1013 - Ali Cakmak, M. Hasan Celik:
Personalized Metabolic Analysis of Diseases. 1014-1025 - Wenyan Wang, Yuming Zhou, Mu-Tian Cheng, Yan Wang, Chun-Hou Zheng, Yan Xiong, Peng Chen, Zhiwei Ji, Bing Wang:
Potential Pathogenic Genes Prioritization Based on Protein Domain Interaction Network Analysis. 1026-1034 - Souad Bouasker, Wissem Inoubli, Sadok Ben Yahia, Gayo Diallo:
Pregnancy Associated Breast Cancer Gene Expressions : New Insights on Their Regulation Based on Rare Correlated Patterns. 1035-1048 - Jiechen Li, Haochen Zhao, Zhanwei Xuan, Jingwen Yu, Xiang Feng, Bo Liao, Lei Wang:
A Novel Approach for Potential Human LncRNA-Disease Association Prediction Based on Local Random Walk. 1049-1059 - Min Liu, Yalan Liu, Weili Qian, Yaonan Wang:
DeepSeed Local Graph Matching for Densely Packed Cells Tracking. 1060-1069 - Zhen Zhang, Junwei Luo, Juan Shang, Min Li, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
Deletion Detection Method Using the Distribution of Insert Size and a Precise Alignment Strategy. 1070-1081 - Tingting Yu, Jianxing Liu, Qingshuang Zeng, Ligang Wu:
Dissipativity-Based Filtering for Switched Genetic Regulatory Networks with Stochastic Disturbances and Time-Varying Delays. 1082-1092 - Ying An, Nengjun Huang, Xianlai Chen, Fang-Xiang Wu, Jianxin Wang:
High-Risk Prediction of Cardiovascular Diseases via Attention-Based Deep Neural Networks. 1093-1105 - Qingfeng Chen, Dehuan Lai, Wei Lan, Ximin Wu, Baoshan Chen, Jin Liu, Yi-Ping Phoebe Chen, Jianxin Wang:
ILDMSF: Inferring Associations Between Long Non-Coding RNA and Disease Based on Multi-Similarity Fusion. 1106-1112 - Xiangmin Ji, Lei Wang, Liyan Hua, Xueying Wang, Pengyue Zhang, Aditi Shendre, Weixing Feng, Jin Li, Lang Li:
Improved Adverse Drug Event Prediction Through Information Component Guided Pharmacological Network Model (IC-PNM). 1113-1121 - Meng-Meng Yin, Zhen Cui, Ming-Ming Gao, Jin-Xing Liu, Ying-Lian Gao:
LWPCMF: Logistic Weighted Profile-Based Collaborative Matrix Factorization for Predicting MiRNA-Disease Associations. 1122-1129 - Sune S. Nielsen, Marek Ostaszewski, Fintan McGee, David Hoksza, Simone Zorzan:
Machine Learning to Support the Presentation of Complex Pathway Graphs. 1130-1141 - Farzeen Munir, Sadaf Gull, Amina Asif, Fayyaz ul Amir Afsar Minhas:
MILAMP: Multiple Instance Prediction of Amyloid Proteins. 1142-1150 - Michael R. Schwob, Justin Zhan, Aeren Dempsey:
Modeling Cell Communication with Time-Dependent Signaling Hypergraphs. 1151-1163 - Füsun Er, Dionysis Goularas:
Predicting the Prognosis of MCI Patients Using Longitudinal MRI Data. 1164-1173 - Sangseon Lee, Taeheon Lee, Yung-Kyun Noh, Sun Kim:
Ranked k-Spectrum Kernel for Comparative and Evolutionary Comparison of Exons, Introns, and CpG Islands. 1174-1183 - Ang Bian, Xiaoyi Jiang, Dimitri Berh, Benjamin Risse:
Resolving Colliding Larvae by Fitting ASM to Random Walker-Based Pre-Segmentations. 1184-1194 - Md. Rafiqul Islam, Md. Shahidul Islam, Nazmus Shaker Nafi:
RNA Secondary Structure Prediction with Pseudoknots Using Chemical Reaction Optimization Algorithm. 1195-1207 - Serhan Yilmaz, Öznur Tastan, A. Ercüment Çiçek:
SPADIS: An Algorithm for Selecting Predictive and Diverse SNPs in GWAS. 1208-1216 - Jun Zhou, R. Ramanathan, Weng-Fai Wong:
Synthesis of the Dynamical Properties of Feedback Loops in Bio-Pathways. 1217-1226
Volume 18, Number 4, July - August 2021
- Dong-Qing Wei, Aman Chandra Kaushik, Gurudeeban Selvaraj, Yi Pan:
Editorial: Computational Genomics and Molecular Medicine for Emerging COVID-19. 1227-1229 - Chunmei Cui, Chuanbo Huang, Wanlu Zhou, Xiangwen Ji, Fenghong Zhang, Liang Wang, Yuan Zhou, Qinghua Cui:
AGTR2, One Possible Novel Key Gene for the Entry of SARS-CoV-2 Into Human Cells. 1230-1233 - Yadunath Pathak, Piyush Kumar Shukla, K. V. Arya:
Deep Bidirectional Classification Model for COVID-19 Disease Infected Patients. 1234-1241 - Jin-Xiong Lv, Shikui Tu, Lei Xu:
Detection of Phenotype-Related Mutations of COVID-19 via the Whole Genomic Data. 1242-1249 - Ming Xiao, Guangdi Liu, Jianghang Xie, Zichun Dai, Zihao Wei, Ziyao Ren, Jun Yu, Le Zhang:
2019nCoVAS: Developing the Web Service for Epidemic Transmission Prediction, Genome Analysis, and Psychological Stress Assessment for 2019-nCoV. 1250-1261 - Chandrabose Selvaraj, Dhurvas Chandrasekaran Dinesh, Umesh Panwar, Evzen Boura, Sanjeev Kumar Singh:
High-Throughput Screening and Quantum Mechanics for Identifying Potent Inhibitors Against Mac1 Domain of SARS-CoV-2 Nsp3. 1262-1270 - Broto Chakrabarty, Dibyajyoti Das, Gopalakrishnan Bulusu, Arijit Roy:
Network-Based Analysis of Fatal Comorbidities of COVID-19 and Potential Therapeutics. 1271-1280 - Elmeri M. Jokinen, Krishnasamy Gopinath, Sami T. Kurkinen, Olli T. Pentikäinen:
Detection of Binding Sites on SARS-CoV-2 Spike Protein Receptor-Binding Domain by Molecular Dynamics Simulations in Mixed Solvents. 1281-1289 - Deshan Zhou, Shaoliang Peng, Dong-Qing Wei, Wu Zhong, Yutao Dou, Xiaolan Xie:
LUNAR : Drug Screening for Novel Coronavirus Based on Representation Learning Graph Convolutional Network. 1290-1298 - Aman Chandra Kaushik, Aamir Mehmood, Gurudeeban Selvaraj, Xiaofeng Dai, Yi Pan, Dong-Qing Wei:
CoronaPep: An Anti-Coronavirus Peptide Generation Tool. 1299-1304 - Zhimiao Yu, Jiarui Lu, Yuan Jin, Yang Yang:
KenDTI: An Ensemble Model for Predicting Drug-Target Interaction by Integrating Multi-Source Information. 1305-1314 - ShanShan Hu, DeNan Xia, Benyue Su, Peng Chen, Bing Wang, Jin-Yan Li:
A Convolutional Neural Network System to Discriminate Drug-Target Interactions. 1315-1324 - Enze Liu, Jin Li, Garrett Kinnebrew, Pengyue Zhang, Yan Zhang, Lijun Cheng, Lang Li:
A Fast and Furious Bayesian Network and Its Application of Identifying Colon Cancer to Liver Metastasis Gene Regulatory Networks. 1325-1335 - Hector Carrillo-Cabada, Jeremy Benson, Asghar M. Razavi, Brianna Mulligan, Michel A. Cuendet, Harel Weinstein, Michela Taufer, Trilce Estrada:
A Graphic Encoding Method for Quantitative Classification of Protein Structure and Representation of Conformational Changes. 1336-1349 - Aiying Zhang, Jian Fang, Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang:
A Latent Gaussian Copula Model for Mixed Data Analysis in Brain Imaging Genetics. 1350-1360 - Ulavappa B. Angadi, Krishna Kumar Chaturvedi, Sudhir Srivastava, Anil Rai:
A Novel Way of Comparing Protein 3D Structure Using Graph Partitioning Approach. 1361-1368 - Liguang Wang, Yujia Wang, Yi Fu, Yunge Gao, Jiawei Du, Chen Yang, Jianxiao Liu:
AFSBN: A Method of Artificial Fish Swarm Optimizing Bayesian Network for Epistasis Detection. 1369-1383 - Ziying Yang, Guoxian Yu, Maozu Guo, Jiantao Yu, Xiangliang Zhang, Jun Wang:
CDPath: Cooperative Driver Pathways Discovery Using Integer Linear Programming and Markov Clustering. 1384-1395 - Bing Nan Li, Xinle Wang, Rong Wang, Teng Zhou, Rongke Gao, Edward J. Ciaccio, Peter H. R. Green:
Celiac Disease Detection From Videocapsule Endoscopy Images Using Strip Principal Component Analysis. 1396-1404 - Yan Ge, Philipp Rosendahl, Claudio Durán, Nicole Töpfner, Sara Ciucci, Jochen R. Guck, Carlo Vittorio Cannistraci:
Cell Mechanics Based Computational Classification of Red Blood Cells Via Machine Intelligence Applied to Morpho-Rheological Markers. 1405-1415 - Wenju Zhang, Zhewei Liang, Xin Chen, Lei Xin, Baozhen Shan, Zhigang Luo, Ming Li:
ChimST: An Efficient Spectral Library Search Tool for Peptide Identification from Chimeric Spectra in Data-Dependent Acquisition. 1416-1425 - Sidharth Maheshwari, Venkateshwarlu Y. Gudur, Rishad A. Shafik, Ian Wilson, Alex Yakovlev, Amit Acharyya:
CORAL: Verification-Aware OpenCL Based Read Mapper for Heterogeneous Systems. 1426-1438 - Yingwen Zhao, Jun Wang, Maozu Guo, Xiangliang Zhang, Guoxian Yu:
Cross-Species Protein Function Prediction with Asynchronous-Random Walk. 1439-1450 - Jun Zhang, Qingcai Chen, Bin Liu:
DeepDRBP-2L: A New Genome Annotation Predictor for Identifying DNA-Binding Proteins and RNA-Binding Proteins Using Convolutional Neural Network and Long Short-Term Memory. 1451-1463 - Shaoliang Peng, Yaning Yang, Wei Liu, Fei Li, Xiangke Liao:
Discriminant Projection Shared Dictionary Learning for Classification of Tumors Using Gene Expression Data. 1464-1473 - Furkan Ozden, Metin Can Siper, Necmi Acarsoy, Tugrulcan Elmas, Bryan Marty, Xinjian Qi, A. Ercüment Çiçek:
DORMAN: Database of Reconstructed MetAbolic Networks. 1474-1480 - Yue Hu, Jin-Xing Liu, Ying-Lian Gao, Junliang Shang:
DSTPCA: Double-Sparse Constrained Tensor Principal Component Analysis Method for Feature Selection. 1481-1491 - Xingyu Liao, Min Li, Junwei Luo, You Zou, Fang-Xiang Wu, Yi Pan, Feng Luo, Jianxin Wang:
EPGA-SC : A Framework for de novo Assembly of Single-Cell Sequencing Reads. 1492-1503 - Afsaneh Javadi, Faezeh Keighobadi, Vahab Nekoukar, Marzieh Ebrahimi:
Finite-Set Model Predictive Control of Melanoma Cancer Treatment Using Signaling Pathway Inhibitor of Cancer Stem Cell. 1504-1511 - Chao Wang, Lei Gong, Shiming Lei, Haijie Fang, Xi Li, Aili Wang, Xuehai Zhou:
GenSeq+: A Scalable High-Performance Accelerator for Genome Sequencing. 1512-1523 - Gaurav Sharma, Prashant Singh Rana, Seema Bawa:
Hybrid Machine Learning Models for Predicting Types of Human T-cell Lymphotropic Virus. 1524-1534 - Methun Kamruzzaman, Ananth Kalyanaraman, Bala Krishnamoorthy, Stefan Hey, Patrick S. Schnable:
Hyppo-X: A Scalable Exploratory Framework for Analyzing Complex Phenomics Data. 1535-1548 - Meiling Wang, Wei Shao, Xiaoke Hao, Li Shen, Daoqiang Zhang:
Identify Consistent Cross-Modality Imaging Genetic Patterns via Discriminant Sparse Canonical Correlation Analysis. 1549-1561 - Pingjian Ding, Cheng Liang, Wenjue Ouyang, Guanghui Li, Qiu Xiao, Jiawei Luo:
Inferring Synergistic Drug Combinations Based on Symmetric Meta-Path in a Novel Heterogeneous Network. 1562-1571 - Lei Deng, Wenkai Li, Jingpu Zhang:
LDAH2V: Exploring Meta-Paths Across Multiple Networks for lncRNA-Disease Association Prediction. 1572-1581 - Ling Huang, Chang-Dong Wang, Hongyang Chao:
oComm: Overlapping Community Detection in Multi-View Brain Network. 1582-1595 - Konstantinos Pliakos, Celine Vens, Grigorios Tsoumakas:
Predicting Drug-Target Interactions With Multi-Label Classification and Label Partitioning. 1596-1607 - Saptarshi Pyne, Ashish Anand:
Rapid Reconstruction of Time-varying Gene Regulatory Networks with Limited Main Memory. 1608-1619 - Tianshu Feng, Jaime I. Dávila, Yuanhang Liu, Sangdi Lin, Shuai Huang, Chen Wang:
Semi-Supervised Topological Analysis for Elucidating Hidden Structures in High-Dimensional Transcriptome Datasets. 1620-1631 - Ting Xu, Le Ou-Yang, Hong Yan, Xiao-Fei Zhang:
Time-Varying Differential Network Analysis for Revealing Network Rewiring over Cancer Progression. 1632-1642
Volume 18, Number 5, September - October 2021
- Kaijian Xia, Yizhang Jiang, Yudong Zhang, Wen Si:
Guest Editorial: Advanced Machine-Learning Methods for Brain-Machine Interfacing or Brain-Computer Interfacing. 1643-1644 - Xiaotong Gu, Zehong Cao, Alireza Jolfaei, Peng Xu, Dongrui Wu, Tzyy-Ping Jung, Chin-Teng Lin:
EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications. 1645-1666 - Yuanpeng Zhang, Ziyuan Zhou, Wenjie Pan, Heming Bai, Wei Liu, Li Wang, Chuang Lin:
Epilepsy Signal Recognition Using Online Transfer TSK Fuzzy Classifier Underlying Classification Error and Joint Distribution Consensus Regularization. 1667-1678 - Xiaoqing Gu, Cong Zhang, Tongguang Ni:
A Hierarchical Discriminative Sparse Representation Classifier for EEG Signal Detection. 1679-1687 - Zhihan Lv, Liang Qiao, Qingjun Wang, Francesco Piccialli:
Advanced Machine-Learning Methods for Brain-Computer Interfacing. 1688-1698 - Bo Lin, Shuiguang Deng, Honghao Gao, Jianwei Yin:
A Multi-Scale Activity Transition Network for Data Translation in EEG Signals Decoding. 1699-1709 - Shuaiqi Liu, Xu Wang, Ling Zhao, Jie Zhao, Qi Xin, Shui-Hua Wang:
Subject-Independent Emotion Recognition of EEG Signals Based on Dynamic Empirical Convolutional Neural Network. 1710-1721 - Chenxi Huang, Yutian Xiao, Gaowei Xu:
Predicting Human Intention-Behavior Through EEG Signal Analysis Using Multi-Scale CNN. 1722-1729 - De-Shuang Huang, Vitoantonio Bevilacqua, M. Michael Gromiha:
Guest Editorial for Special Section on the 15th International Conference on Intelligent Computing (ICIC). 1730-1732 - Kai Zheng, Zhu-Hong You, Lei Wang, Yi-Ran Li, Ji-Ren Zhou, Haitao Zeng:
MISSIM: An Incremental Learning-Based Model With Applications to the Prediction of miRNA-Disease Association. 1733-1742 - Qinhu Zhang, Dailun Wang, Kyungsook Han, De-Shuang Huang:
Predicting TF-DNA Binding Motifs from ChIP-seq Datasets Using the Bag-Based Classifier Combined With a Multi-Fold Learning Scheme. 1743-1751 - Hongjie Wu, Huajing Ling, Lei Gao, Qiming Fu, Weizhong Lu, Yijie Ding, Min Jiang, Haiou Li:
Empirical Potential Energy Function Toward ab Initio Folding G Protein-Coupled Receptors. 1752-1762 - Yue Liu, Shu-Lin Wang, Jun-Feng Zhang, Wei Zhang, Su Zhou, Wen Li:
DMFMDA: Prediction of Microbe-Disease Associations Based on Deep Matrix Factorization Using Bayesian Personalized Ranking. 1763-1772 - Xinguo Lu, Xinyu Wang, Li Ding, Jinxin Li, Yan Gao, Keren He:
frDriver: A Functional Region Driver Identification for Protein Sequence. 1773-1783 - Jiang Xie, Chang Zhao, Jiamin Sun, Jiaxin Li, Fuzhang Yang, Jiao Wang, Qing Nie:
Prediction of Essential Genes in Comparison States Using Machine Learning. 1784-1792 - Qinhu Zhang, Wenbo Yu, Kyungsook Han, Asoke K. Nandi, De-Shuang Huang:
Multi-Scale Capsule Network for Predicting DNA-Protein Binding Sites. 1793-1800 - Menglu Li, Yanan Wang, Fuyi Li, Yun Zhao, Mengya Liu, Sijia Zhang, Yannan Bin, Alexander Ian Smith, Geoffrey I. Webb, Jian Li, Jiangning Song, Junfeng Xia:
A Deep Learning-Based Method for Identification of Bacteriophage-Host Interaction. 1801-1810 - Xiguo Yuan, Junping Li, Jun Bai, Jianing Xi:
A Local Outlier Factor-Based Detection of Copy Number Variations From NGS Data. 1811-1820 - Hai-Hui Huang, Yong Liang:
A Novel Cox Proportional Hazards Model for High-Dimensional Genomic Data in Cancer Prognosis. 1821-1830 - Jinhao Zhang, Zehua Zhang, Lianrong Pu, Jijun Tang, Fei Guo:
AIEpred: An Ensemble Predictive Model of Classifier Chain to Identify Anti-Inflammatory Peptides. 1831-1840 - Ying Qian, Yu Zhang, Jiongmin Zhang:
Alignment-Free Sequence Comparison With Multiple k Values. 1841-1849 - Benlian Xu, Jian Shi, Mingli Lu, Jinliang Cong, Ling Wang, Brett Nener:
An Automated Cell Tracking Approach With Multi-Bernoulli Filtering and Ant Colony Labor Division. 1850-1863 - Gautam Kumar, Rajnish Kumar, Manoj Kumar Pal, Nilotpal Pramanik, Tapobrata Lahiri, Ankita Gupta, Saket Pandey:
APT: An Automated Probe Tracker From Gene Expression Data. 1864-1874 - Yue Zhang, Chunfang Zheng, Sindeed Islam, Yong-Min Kim, David Sankoff:
Branching Out to Speciation in a Model of Fractionation: The Malvaceae. 1875-1884 - Atefeh Ghasemnejad, Samira Bazmara, Mahsa Shadmani, Kamran Pooshang Bagheri:
Designing a New Multi-Epitope Pertussis Vaccine with Highly Population Coverage Based on a Novel Sequence and Structural Filtration Algorithm. 1885-1892 - Xiguo Yuan, Xiangyan Xu, Haiyong Zhao, Junbo Duan:
ERINS: Novel Sequence Insertion Detection by Constructing an Extended Reference. 1893-1901 - Chetna Kumari, Muhammad Abulaish, Naidu Subbarao:
Exploring Molecular Descriptors and Fingerprints to Predict mTOR Kinase Inhibitors using Machine Learning Techniques. 1902-1913 - Jiaojiao Chen, Jianbo Jiao, Shengfeng He, Guoqiang Han, Jing Qin:
Few-Shot Breast Cancer Metastases Classification via Unsupervised Cell Ranking. 1914-1923 - Belal Medhat, Ahmed Shawish:
FLR: A Revolutionary Alignment-Free Similarity Analysis Methodology for DNA-Sequences. 1924-1936 - Cangzhi Jia, Meng Zhang, Cunshuo Fan, Fuyi Li, Jiangning Song:
Formator: Predicting Lysine Formylation Sites Based on the Most Distant Undersampling and Safe-Level Synthetic Minority Oversampling. 1937-1945 - Hang Wei, Qing Liao, Bin Liu:
iLncRNAdis-FB: Identify lncRNA-Disease Associations by Fusing Biological Feature Blocks Through Deep Neural Network. 1946-1957 - Veronica Suaste Morales, Sheridan K. Houghten:
Lossy Compression of Quality Values in Sequencing Data. 1958-1969 - Shahid Iqbal, Zahid Halim:
Orienting Conflicted Graph Edges Using Genetic Algorithms to Discover Pathways in Protein-Protein Interaction Networks. 1970-1985 - Yijie Ding, Jijun Tang, Fei Guo:
Protein Crystallization Identification via Fuzzy Model on Linear Neighborhood Representation. 1986-1995 - Da Zhang, Mansur R. Kabuka:
Protein Family Classification from Scratch: A CNN Based Deep Learning Approach. 1996-2007 - Ke Yan, Jie Wen, Jin-Xing Liu, Yong Xu, Bin Liu:
Protein Fold Recognition by Combining Support Vector Machines and Pairwise Sequence Similarity Scores. 2008-2016 - Hong Wei, Boling Wang, Jianyi Yang, Jianzhao Gao:
RNA Flexibility Prediction With Sequence Profile and Predicted Solvent Accessibility. 2017-2022 - Kuan-Hao Chao, Yi-Wen Hsiao, Yi-Fang Lee, Chien-Yueh Lee, Liang-Chuan Lai, Mong-Hsun Tsai, Tzu-Pin Lu, Eric Y. Chuang:
RNASeqR: An R Package for Automated Two-Group RNA-Seq Analysis Workflow. 2023-2031 - Lauren Spirko-Burns, Karthik Devarajan:
Supervised Dimension Reduction for Large-Scale "Omics" Data With Censored Survival Outcomes Under Possible Non-Proportional Hazards. 2032-2044 - Muhammad Aizaz Akmal, Waqar Hussain, Nouman Rasool, Yaser Daanial Khan, Sher Afzal Khan, Kuo-Chen Chou:
Using CHOU'S 5-Steps Rule to Predict O-Linked Serine Glycosylation Sites by Blending Position Relative Features and Statistical Moment. 2045-2056
Volume 18, Number 6, November - December 2021
- Aidong Zhang:
EIC Farewell and New EIC Introduction. 2057 - Srinivas Aluru:
Editorial: From the New Editor-in-Chief. 2058 - Carlos Martín-Vide, Miguel A. Vega-Rodríguez:
Algorithms for Computational Biology: Seventh Edition. 2059-2060 - Tathagata Debnath, Mingzhou Song:
Fast Optimal Circular Clustering and Applications on Round Genomes. 2061-2071 - Shaoheng Liang, Qingnan Liang, Rui Chen, Ken Chen:
Stratified Test Accurately Identifies Differentially Expressed Genes Under Batch Effects in Single-Cell Data. 2072-2079 - Andre Rodrigues Oliveira, Géraldine Jean, Guillaume Fertin, Klairton Lima Brito, Ulisses Dias, Zanoni Dias:
Sorting Permutations by Intergenic Operations. 2080-2093 - Gabriel Siqueira, Klairton Lima Brito, Ulisses Dias, Zanoni Dias:
Heuristics for Genome Rearrangement Distance With Replicated Genes. 2094-2108 - Nickolas Steinauer, Kevin Zhang, Chun Guo, Jinsong Zhang:
Computational Modeling of Gene-Specific Transcriptional Repression, Activation and Chromatin Interactions in Leukemogenesis by LASSO-Regularized Logistic Regression. 2109-2122 - Louxin Zhang, Shaoliang Peng, Yi-Ping Phoebe Chen, David Sankoff, Guoliang Li, Hong-Yu Zhang:
Guest Editorial for the 17th Asia Pacific Bioinformatics Conference. 2123-2124 - Pawel Górecki, Oliver Eulenstein, Jerzy Tiuryn:
The Unconstrained Diameters of the Duplication-Loss Cost and the Loss Cost. 2125-2135 - Melissa Grueter, Kalani Duran, Ramya Ramalingam, Ran Libeskind-Hadas:
Reconciliation Reconsidered: In Search of a Most Representative Reconciliation in the Duplication-Transfer-Loss Model. 2136-2143 - Haoxing Du, Yi Sheng Ong, Marina Knittel, Ross Mawhorter, Nuo Liu, Gianluca Gross, Reiko Tojo, Ran Libeskind-Hadas, Yi-Chieh Wu:
Multiple Optimal Reconciliations Under the Duplication-Loss-Coalescence Model. 2144-2156 - Hongzhe Guo, Yilei Fu, Yan Gao, Junyi Li, Yadong Wang, Bo Liu:
deGSM: Memory Scalable Construction Of Large Scale de Bruijn Graph. 2157-2166 - Cui Su, Jun Pang, Soumya Paul:
Towards Optimal Decomposition of Boolean Networks. 2167-2176 - Tom Hartmann, Max Bannach, Martin Middendorf:
Sorting Signed Permutations by Inverse Tandem Duplication Random Losses. 2177-2188 - Nguyen-Quoc-Khanh Le, Binh P. Nguyen:
Prediction of FMN Binding Sites in Electron Transport Chains Based on 2-D CNN and PSSM Profiles. 2189-2197 - Ozan Firat Özgül, Batuhan Bardak, Mehmet Tan:
A Convolutional Deep Clustering Framework for Gene Expression Time Series. 2198-2207 - Fuhao Zhang, Hong Song, Min Zeng, Fang-Xiang Wu, Yaohang Li, Yi Pan, Min Li:
A Deep Learning Framework for Gene Ontology Annotations With Sequence- and Network-Based Information. 2208-2217 - Zilu Wang, Qinghui Hong, Xiaoping Wang:
A Memristive Circuit Implementation of Eyes State Detection in Fatigue Driving Based on Biological Long Short-Term Memory Rule. 2218-2229 - Pablo Nascimento da Silva, Alexandre Plastino, Fabio Fabris, Alex Alves Freitas:
A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti-Longevity Genes. 2230-2238 - Dong Li, Zhisong Pan, Guyu Hu, Graham Anderson, Shan He:
Active Module Identification From Multilayer Weighted Gene Co-Expression Networks: A Continuous Optimization Approach. 2239-2248 - Qiong Fang, Dewei Su, Wilfred Ng, Jianlin Feng:
An Effective Biclustering-Based Framework for Identifying Cell Subpopulations From scRNA-seq Data. 2249-2260 - Junyi Chen, Junhui Hou, Ka-Chun Wong:
Categorical Matrix Completion With Active Learning for High-Throughput Screening. 2261-2270 - Oyetunji E. Ogundijo, Kaiyi Zhu, Xiaodong Wang, Dimitris Anastassiou:
Characterizing Intra-Tumor Heterogeneity From Somatic Mutations Without Copy-Neutral Assumption. 2271-2280 - Shaoxun Yuan, Haitao Li, Jiansheng Wu, Xiao Sun:
Classification of Mild Cognitive Impairment With Multimodal Data Using Both Labeled and Unlabeled Samples. 2281-2290 - Anne-Marie Lyne, Leïla Perié:
Comparing Phylogenetic Approaches to Reconstructing Cell Lineage From Microsatellites With Missing Data. 2291-2301 - Guillermo Blanco, Borja Sánchez, Lorena Ruiz, Florentino Fdez-Riverola, Abelardo Margolles, Anália Lourenço:
Computational Approach to the Systematic Prediction of Glycolytic Abilities: Looking Into Human Microbiota. 2302-2313 - Eyla Willing, Jens Stoye, Marília D. V. Braga:
Computing the Inversion-Indel Distance. 2314-2326 - Junzhong Ji, Yao Yao:
Convolutional Neural Network With Graphical Lasso to Extract Sparse Topological Features for Brain Disease Classification. 2327-2338 - Annalisa Occhipinti, Youssef Hamadi, Hillel Kugler, Christoph M. Wintersteiger, Boyan Yordanov, Claudio Angione:
Discovering Essential Multiple Gene Effects Through Large Scale Optimization: An Application to Human Cancer Metabolism. 2339-2352 - Min Zeng, Chengqian Lu, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Jianxin Wang, Min Li:
DMFLDA: A Deep Learning Framework for Predicting lncRNA-Disease Associations. 2353-2363 - Nelson R. C. Monteiro, Bernardete Ribeiro, Joel P. Arrais:
Drug-Target Interaction Prediction: End-to-End Deep Learning Approach. 2364-2374 - Chuan-Yuan Wang, Na Yu, Ming-Juan Wu, Ying-Lian Gao, Jin-Xing Liu, Juan Wang:
Dual Hyper-Graph Regularized Supervised NMF for Selecting Differentially Expressed Genes and Tumor Classification. 2375-2383 - Hanif Yaghoobi, Esmaeil Babaei, Bashdar Mahmud Hussen, Ali Emami:
EBST: An Evolutionary Multi-Objective Optimization Based Tool for Discovering Potential Biomarkers in Ovarian Cancer. 2384-2393 - Hongwei Huo, Xiaoyang Chen, Xu Guo, Jeffrey Scott Vitter:
Efficient Compression and Indexing for Highly Repetitive DNA Sequence Collections. 2394-2408 - Sanjay S. Bankapur, Nagamma Patil:
Enhanced Protein Structural Class Prediction Using Effective Feature Modeling and Ensemble of Classifiers. 2409-2419 - Zhiyuan Zhu, Zonglei Zhen, Xia Wu, Shuo Li:
Estimating Functional Connectivity by Integration of Inherent Brain Function Activity Pattern Priors. 2420-2430 - Yunhe Wang, Zhiqiang Ma, Ka-Chun Wong, Xiangtao Li:
Evolving Multiobjective Cancer Subtype Diagnosis From Cancer Gene Expression Data. 2431-2444 - Xiangtao Li, Shixiong Zhang, Ka-Chun Wong:
Evolving Transcriptomic Profiles From Single-Cell RNA-Seq Data Using Nature-Inspired Multiobjective Optimization. 2445-2458 - Yu-Hao Ke, Jen-Wei Huang, Wei-Chen Lin, Bijay Prasad Jaysawal:
Finding Possible Promoter Binding Sites in DNA Sequences by Sequential Patterns Mining With Specific Numbers of Gaps. 2459-2470 - Javier Pérez-Rodríguez, Aida de Haro-García, Nicolás García-Pedrajas:
Floating Search Methodology for Combining Classification Models for Site Recognition in DNA Sequences. 2471-2482 - Xingyi Li, Ju Xiang, Jianxin Wang, Jinyan Li, Fang-Xiang Wu, Min Li:
FUNMarker: Fusion Network-Based Method to Identify Prognostic and Heterogeneous Breast Cancer Biomarkers. 2483-2491 - Payal Gaggar, Manish Kumar, Kunal Mukhopadhyay:
Genome-Scale Identification, in Silico Characterization and Interaction Study Between Wheat SNARE and NPSN Gene Families Involved in Vesicular Transport. 2492-2501 - Hao Li, Yuqi Wang, Zhen Zhang, Yihong Tan, Zhiping Chen, Xiangyi Wang, Tingrui Pei, Lei Wang:
Identifying Microbe-Disease Association Based on a Novel Back-Propagation Neural Network Model. 2502-2513 - Kai Shi, Wei Lin, Xing-Ming Zhao:
Identifying Molecular Biomarkers for Diseases With Machine Learning Based on Integrative Omics. 2514-2525 - Hilal Tayara, Kil To Chong:
Improved Predicting of The Sequence Specificities of RNA Binding Proteins by Deep Learning. 2526-2534 - Jiawei Luo, Cong Shen, Zihan Lai, Jie Cai, Pingjian Ding:
Incorporating Clinical, Chemical and Biological Information for Predicting Small Molecule-microRNA Associations Based on Non-Negative Matrix Factorization. 2535-2545 - Hai-Cheng Yi, Zhu-Hong You, Zhen-Hao Guo, De-Shuang Huang, Keith C. C. Chan:
Learning Representation of Molecules in Association Network for Predicting Intermolecular Associations. 2546-2554 - Jie Xing, Zheren Li, Biyuan Wang, Yuji Qi, Bingbin Yu, Farhad Ghazvinian Zanjani, Aiwen Zheng, Remco Duits, Tao Tan:
Lesion Segmentation in Ultrasound Using Semi-Pixel-Wise Cycle Generative Adversarial Nets. 2555-2565 - Antara Pal, Pegi Haliti, Bhushan Dharmadhikari, Wu Qi, Prabir Patra:
Manipulating Extracellular Matrix Organizations and Parameters to Control Local Cancer Invasion. 2566-2576 - Xiaowei Zhao, Yiqin Yang, Minghao Yin:
MHRWR: Prediction of lncRNA-Disease Associations Based on Multiple Heterogeneous Networks. 2577-2585 - Beiji Zou, Yulan Dai, Qi He, Chengzhang Zhu, Geng Liu, Yu Su, Rui Tang:
Multi-Label Classification Scheme Based on Local Regression for Retinal Vessel Segmentation. 2586-2597 - Lijia Ma, Shiqiang Wang, Qiuzhen Lin, Jianqiang Li, Zhuhong You, Jiaxiang Huang, Maoguo Gong:
Multi-Neighborhood Learning for Global Alignment in Biological Networks. 2598-2611 - Surama Biswas, Sriyankar Acharyya:
Multi-objective Simulated Annealing Variants to Infer Gene Regulatory Network: A Comparative Study. 2612-2623 - Jie Yang, Song He, Zhongnan Zhang, Xiaochen Bo:
NegStacking: Drug-Target Interaction Prediction Based on Ensemble Learning and Logistic Regression. 2624-2634 - Pascal Schlosser, Jochen Knaus, Maximilian Schmutz, Konstanze Döhner, Christoph Plass, Lars Bullinger, Rainer Claus, Harald Binder, Michael Lübbert, Martin Schumacher:
Netboost: Boosting-Supported Network Analysis Improves High-Dimensional Omics Prediction in Acute Myeloid Leukemia and Huntington's Disease. 2635-2648 - Nadia S. Taou, Michael A. Lones:
Optimising Boolean Synthetic Regulatory Networks to Control Cell States. 2649-2658 - Koyel Mandal, Rosy Sarmah, Dhruba Kumar Bhattacharyya:
POPBic: Pathway-Based Order Preserving Biclustering Algorithm Towards the Analysis of Gene Expression Data. 2659-2670 - Ping Xuan, Bingxu Chen, Tiangang Zhang, Yan Yang:
Prediction of Drug-Target Interactions Based on Network Representation Learning and Ensemble Learning. 2671-2681 - Ke Yan, Jie Wen, Yong Xu, Bin Liu:
Protein Fold Recognition Based on Auto-Weighted Multi-View Graph Embedding Learning Model. 2682-2691 - Xiguo Yuan, Chao Ma, Haiyong Zhao, Liying Yang, Shuzhen Wang, Jianing Xi:
STIC: Predicting Single Nucleotide Variants and Tumor Purity in Cancer Genome. 2692-2701 - Sara Montagna, Michele Braccini, Andrea Roli:
The Impact of Self-Loops on Boolean Networks Attractor Landscape and Implications for Cell Differentiation Modelling. 2702-2713 - Yushan Qiu, Hao Jiang, Wai-Ki Ching:
Unsupervised Learning Framework With Multidimensional Scaling in Predicting Epithelial-Mesenchymal Transitions. 2714-2723 - Jiunn-Liang Lin, Wei-Liang Kuo, Yi-Hao Huang, Tai-Lang Jong, Ao-Lin Hsu, Wen-Hsing Hsu:
Using Convolutional Neural Networks to Measure the Physiological Age of Caenorhabditis elegans. 2724-2732 - Shiming Wang, Jie Li, Yadong Wang:
WMMDCA: Prediction of Drug Responses by Weight-Based Modular Mapping in Cancer Cell Lines. 2733-2740 - Getulio Pereira, Preetam Ghosh, Anderson Santos:
A Bridging Centrality Plugin for GEPHI and a Case Study for Mycobacterium Tuberculosis H37Rv. 2741-2746 - Victor Luncasu, Madalina Raschip:
A Graph-Based Approach for the DNA Word Design Problem. 2747-2752 - Hongmei Jiao, Qikun Shen, Yan Shi, Peng Shi:
Adaptive Tracking Control for Uncertain Cancer-Tumor-Immune Systems. 2753-2758 - Davide Chicco, Luca Oneto:
An Enhanced Random Forests Approach to Predict Heart Failure From Small Imbalanced Gene Expression Data. 2759-2765 - Maxim A. Sikolenko, Leonid N. Valentovich:
Barapost: Binning of Nucleotide Sequences According to Taxonomic Annotation. 2766-2767 - Yan Zheng, Hao Wang, Yijie Ding, Fei Guo:
CEPZ: A Novel Predictor for Identification of DNase I Hypersensitive Sites. 2768-2774 - Ying Song, Shuangjia Zheng, Liang Li, Xiang Zhang, Xiaodong Zhang, Ziwang Huang, Jianwen Chen, Ruixuan Wang, Huiying Zhao, Yutian Chong, Jun Shen, Yunfei Zha, Yuedong Yang:
Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images. 2775-2780 - Fan Lu, Yilong Lin, Chongbin Yuan, Xiao-Fei Zhang, Le Ou-Yang:
EnTSSR: A Weighted Ensemble Learning Method to Impute Single-Cell RNA Sequencing Data. 2781-2787 - Yan Liu, Wenfang Chen, Zengyou He:
Essential Protein Recognition via Community Significance. 2788-2794 - Noorul Amin, Annette McGrath, Yi-Ping Phoebe Chen:
FexRNA: Exploratory Data Analysis and Feature Selection of Non-Coding RNA. 2795-2801 - Eric Chen, Justin Chu, Jessica Zhang, René L. Warren, Inanç Birol:
GapPredict - A Language Model for Resolving Gaps in Draft Genome Assemblies. 2802-2808 - Yinuo Lyu, Zhen Zhang, Jiawei Li, Wenying He, Yijie Ding, Fei Guo:
iEnhancer-KL: A Novel Two-Layer Predictor for Identifying Enhancers by Position Specific of Nucleotide Composition. 2809-2815 - Gabriel Vilallonga, Daniel Riesco, Antônio-Carlos Guimarães de Almeida, Antônio Márcio Rodrigues, Sérgio Vale Aguiar Campos:
In Silico Laboratory Experiments Using Statistical Model Checking: A New Model of the Palytoxin-Induced Pump Channel as Case Study. 2816-2822 - Nathan Davidov, Amanda Hernandez, Justin Jian, Patrick McKenna, K. A. Medlin, Roadra Mojumder, Megan Owen, Andrew Quijano, Amanda Rodriguez, Katherine St. John, Katherine Thai, Meliza Uraga:
Maximum Covering Subtrees for Phylogenetic Networks. 2823-2827 - Philippe Pognonec, Axel Gustovic, Zied Djabari, Thierry Pourcher, Michel Barlaud:
Mitotic Index Determination on Live Cells From Label-Free Acquired Quantitative Phase Images Using a Supervised Autoencoder. 2828-2834 - Hovakim Grabski, Siranuysh Ginosyan, Susanna Tiratsuyan:
Molecular Simulations and Markov State Modeling Reveal Inactive Form of Quorum Sensing Regulator SdiA of Escherichia Coli. 2835-2840 - Thin Nguyen, Samuel C. Lee, Thomas P. Quinn, Buu Minh Thanh Truong, Xiaomei Li, Truyen Tran, Svetha Venkatesh, Thuc Duy Le:
PAN: Personalized Annotation-Based Networks for the Prediction of Breast Cancer Relapse. 2841-2847 - Amelia Villegas-Morcillo, Angel M. Gomez, Juan Andres Morales-Cordovilla, Victoria E. Sánchez:
Protein Fold Recognition From Sequences Using Convolutional and Recurrent Neural Networks. 2848-2854 - Marta Casanellas, Jesús Fernández-Sánchez, Marina Garrote-López:
SAQ: Semi-Algebraic Quartet Reconstruction. 2855-2861 - Chia-Yen Lee, Jun-Hua Zeng, Sheng-Yu Lee, Ru-Band Lu, Po-Hsiu Kuo:
SNP Data Science for Classification of Bipolar Disorder I and Bipolar Disorder II. 2862-2869 - Andre Rodrigues Oliveira, Géraldine Jean, Guillaume Fertin, Klairton Lima Brito, Laurent Bulteau, Ulisses Dias, Zanoni Dias:
Sorting Signed Permutations by Intergenic Reversals. 2870-2876 - Sergi Maicas, Jaume Segura-Garcia:
Spatial Distribution of Antibiotic-Producing Bacteria in Urban Areas. A Case Study in València (Spain). 2877-2883 - Jiaan Dai, Fengchao Yu, Chen Zhou, Weichuan Yu:
Understanding the Limit of Open Search in the Identification of Peptides With Post-translational Modifications - A Simulation-Based Study. 2884-2890 - Yesen Sun, Le Ou-Yang, Dao-Qing Dai:
WMLRR: A Weighted Multi-View Low Rank Representation to Identify Cancer Subtypes From Multiple Types of Omics Data. 2891-2897
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