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ORCIDBIBM 2018: Madrid, Spain
- Huiru Jane Zheng, Zoraida Callejas, David Griol, Haiying Wang, Xiaohua Hu, Harald H. H. W. Schmidt, Jan Baumbach, Julie Dickerson, Le Zhang:
IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018, Madrid, Spain, December 3-6, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-5488-0 - Junjie Zhang, Liping Wang, Wenjie Zhang
, Junjie Yao:
A Signal Quality Assessment Method for Electrocardiography Acquired by Mobile Device. 1-3 - Chi Wang, Hong Song, Lei Chen, Qiang Li, Jian Yang, Xiaohua Tony Hu, Le Zhang:
Automatic Liver Segmentation Using Multi-plane Integrated Fully Convolutional Neural Networks. 1-6 - Wenjun Tan, Ying Kang, Zhiwei Dong, Jinzhu Yang, Ying Su, Li Zhang, Lisheng Xu, Dazhe Zhao:
An Extracting Method of Symmetry Plane from Head CT images for Surgery Based on OBB and Image Mutual Information. 1-8 - Harald H. H. W. Schmidt:
REPO-TRIAL: Common mechanism-based drug repurposing and endophenotyping. 1-2 - Christian Rohrandt, Nadine Kraft, Pay Gießelmann, Bjorn Brandl, Bernhard M. Schuldt, Ulrich Jetzek, Franz-Josef Müller:
Nanopore SimulatION - a raw data simulator for Nanopore Sequencing. 1-8 - Qingqing Li, Zhihao Yang, Zhehuan Zhao, Ling Luo, Zhiheng Li, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang, Yijia Zhang:
HMNPPID: A Database of Protein-protein Interactions Associated with Human Malignant Neoplasms. 1-3 - Jan Baumbach:
From gene panels to systems medicine. 3 - Xuegong Zhang:
An Overview of Bioinformatics Challenges for Human Cell Atlas. 4 - Mohsen Sheikh Hassani, James R. Green:
Active Learning for microRNA Prediction. 5-12 - Junning Gao, Shuwei Yao, Hiroshi Mamitsuka, Shanfeng Zhu:
AiProAnnotator: Low-rank Approximation with network side information for high-performance, large-scale human Protein abnormality Annotator. 13-20 - Tong Liu, Zheng Wang:
Measuring the three-dimensional structural properties of topologically associating domains. 21-28 - Basir Shariat, Don Neumann, Asa Ben-Hur:
BLRM: A Basic Linear Ranking Model for Protein Interface Prediction. 29-35 - Kiran Tomlinson, Layla Oesper:
Examining Tumor Phylogeny Inference in Noisy Sequencing Data. 36-43 - Jyotsna Talreja Wassan, Haiying Wang, Fiona Browne, Huiru Zheng:
PAAM-ML: A novel Phylogeny and Abundance aware Machine Learning Modelling Approach for Microbiome Classification. 44-49 - Wen Zhang, Guifeng Tang, Siman Wang, Yanlin Chen, Shuang Zhou, Xiaohong Li:
Sequence-derived linear neighborhood propagation method for predicting lncRNA-miRNA interactions. 50-55 - Nasrin Akhter, Jing Lei, Wanli Qiao, Amarda Shehu:
Reconstructing and Decomposing Protein Energy Landscapes to Organize Structure Spaces and Reveal Biologically-active States. 56-60 - Zhi-Zhong Chen, Shohei Ueta, Jingyu Li, Lusheng Wang:
Finding a Center Tree of Phylogenetic Trees via Leaf Removal. 61-64 - Xiuquan Du, Yanyu Diao, Yu Yao, Huaixu Zhu, Yuan-Ting Yan, Yanping Zhang:
DeepMVF-RBP: Deep Multi-view Fusion Representation Learning for RNA-binding Proteins Prediction. 65-68 - Yaosen Min, Shang Liu, Chenyao Lou, Xuefeng Cui:
Learning Protein Structural Fingerprints under the Label-Free Supervision of Domain Knowledge. 69-74 - Cleiton Monteiro, Vinício F. Mendes, Giovanni Comarela, Sabrina de Azevedo Silveira:
Using supervised learning successful descriptors to perform protein structural classification through unsupervised learning. 75-78 - Agnieszka Mykowiecka, Anna Muszewska, Pawel Górecki:
Inferring time-consistent and well-supported horizontal gene transfers. 79-83 - Barbara Poszewiecka, Pawel Stankiewicz, Tomasz Gambin, Anna Gambin:
TADeus-a tool for clinical interpretation of structural variants modifying chromatin organization. 84-87 - Mark Rozanov, Haim J. Wolfson:
AAnchor: CNN guided detection of anchor amino acids in high resolution cryo-EM density maps. 88-91 - Shu Zhang, Ruizhi Wang, Daming Zhu, Haitao Jiang, Haodi Feng, Jiong Guo, Xiaowen Liu:
The Longest Common Exemplar Subsequence Problem. 92-95 - Krzysztof Gogolewski, Marcin Kostecki, Anna Gambin:
Renal cell carcinoma classification: a case study of pitfalls associated with metabolic landscape analysis. 96-101 - Yuexu Jiang, Duolin Wang, Dong Xu, Trupti Joshi:
Integrating Gene Expression Data and Pathway Knowledge for In Silico Hypothesis Generation with IMPRes. 102-107 - Dan Liu, Xiaohua Hu, Tingting He, Xingpeng Jiang:
Virus-host Association Prediction by using Kernelized Logistic Matrix Factorization on Heterogeneous Networks. 108-113 - Xiaoke Ma, Penggang Sun:
Fusing heterogeneous genomic data to discover cancer progression related dynamic modules. 114-121 - Farhad Maleki, Katie L. Ovens, Ian McQuillan, Anthony J. Kusalik:
Sample Size and Reproducibility of Gene Set Analysis. 122-129 - Daniele Pepe, Kim De Keersmaecker:
Analysis of Gene Expression Data of RPL10 Mutant T-Cell Leukemia by SEMsubPA. 130-135 - Bo Song, Jianliang Gao, Hongliang Du, Zheng Chen, Xiaohua Hu:
Aligning Multiple PPI Networks with Representation Learning on Networks. 136-141 - Weichen Song, Guan Ning Lin, Sufang Peng, Yanhua Zhang, Yifeng Shen, Huafang Li, Shunying Yu:
Genome-Wide miRNA Expression Alterations in Nucleus Accumbens Provide Insights into Chronic Stress and Treatment in Depression. 142-148 - Tao Wang, Jiajie Peng, Yadong Wang, Jin Chen:
Identifying Representative Network Motifs for Inferring Higher-order Structure of Biological Networks. 149-156 - Yunpei Xu, Hong-Dong Li, Yi Pan, Feng Luo, Jianxin Wang:
BioRank: A Similarity Assessment Method for Single Cell Clustering. 157-162 - Ibrahim Youssef, Jeffrey N. Law, Anna M. Ritz:
Integrating Protein Localization with Automated Signaling Pathway Reconstruction. 163-168 - Han Zhang, Xueting Huo, Xia Guo, Xin Su, Xiongwen Quan, Chen Jin:
A Disease-related Gene Mining Method Based On Weakly Supervised Learning Model. 169-174 - Hongjie Chen, Xun Wang, Xuan Zhang, Xiangxiang Zeng, Tao Song, Alfonso Rodríguez-Patón:
LncRNA-disease association prediction based on neighborhood information aggregation in neural network. 175-178 - Arfeen Khalid, Sumit Kumar Jha:
Calibration of Rule-Based Stochastic Biochemical Models using Statistical Model Checking. 179-184 - Sajal Kumar, Hua Zhong, Ruby Sharma, Yiyi Li, Mingzhou Song:
Scrutinizing functional interaction networks from RNA-binding proteins to their targets in cancer. 185-190 - Xiaoxia Liu, Zhihao Yang, Shengtian Sang, Lei Wang, Yin Zhang, Hongfei Lin, Bo Xu, Yijia Zhang, Liang Yang, Kan Xu, Jian Wang:
PC-SENE: A node embedding based method for protein complex detection. 191-192 - Yingiun Ma, Limin Yu, Tingting He, Xiaohua Hu, Xingpeng Jiang:
Prediction of Long Non-coding RNA-protein Interaction through Kernel Soft-neighborhood Similarity. 193-196 - Yingiun Ma, Leixin Ge, Yuanyuan Ma, Xingpeng Jiang, Tingting He, Xiaohua Hu:
Kernel Soft-neighborhood Network Fusion for MiRNA-Disease Interaction Prediction. 197-200 - David Martin, Vincent Maillol, Eric Rivals:
Fast and Accurate Genome-Scale Identification of DNA-Binding Sites. 201-205 - Xianjun Shen, Xue Gong, Xingpeng Jiang, Jincai Yang, Tingting He, Xiaohua Hu:
High-order Organization of Weighted Microbial Interaction Network. 206-209 - Bo Xu, Kun Li, Xiaoxia Liu, Delong Liu, Yijia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang, Feng Xia:
Protein Complexes Detection Based on Global Network Representation Learning. 210-213 - Pourya Naderi Yeganeh, Erik Saule, M. Taghi Mostafavi:
Centrality of cancer-related genes in human biological pathways: A graph analysis perspective. 214-218 - Yilei Fu, Tao Jiang, Bo Liu, Yadong Wang:
rCANID: read Clustering and Assembly-based Novel Insertion Detection tool. 219-226 - Hongzhe Guo, Bo Liu, Dengfeng Guan, Yilei Fu, Yadong Wang:
Fast variation-aware read alignment with deBGA-VARA. 227-233 - Joyce Kang, Benjamin Siranosian, Eli Moss, Tessa Andermann, Ami Bhatt:
Read cloud sequencing elucidates microbiome dynamics in a hematopoietic cell transplant patient. 234-241 - Meng Lu:
An embedded method for gene identification in heterogenous data involving unwanted heterogeneity. 242-247 - Qiang Zhu, Min Pan, Lei Liu, Bojing Li, Tingting He, Xingpeng Jiang, Xiaohua Hu:
An Ensemble Feature Selection Method Based on Deep Forest for Microbiome-Wide Association Studies. 248-253 - Shenglong Zhu, Scott J. Emrich, Danny Z. Chen:
Predicting Local Inversions Using Rectangle Clustering and Representative Rectangle Prediction. 254-259 - Petronela Buiga, Jamie Soul, Jean-Marc Schwartz:
A meta-analysis portal for human breast cancer transcriptomics data: BreastCancerVis. 260-264 - Dengfeng Guan, Bo Liu, Yadong Wang:
deSPI: efficient classification of metagenomics reads with lightweight de Bruijn graph-based reference indexing. 265-269 - Rongjie Wang, Yang Bai, Yan-Shuo Chu, Zhenxing Wang, Yongtian Wang, Mingrui Sun, Junyi Li, Tianyi Zang, Yadong Wang:
DeepDNA: a hybrid convolutional and recurrent neural network for compressing human mitochondrial genomes. 270-274 - Peisen Yuan, Shougang Ren, Huanliang Xu, Jin Chen:
Chrysanthemum Abnormal Petal Type Classification using Random Forest and Over-sampling. 275-278 - Qiang Zhu, Qing Zhu, Min Pan, Xingpeng Jiang, Xiaohua Hu, Tingting He:
The Phylogenetic Tree based Deep Forest for Metagenomic Data Classification. 279-282 - Daniel Asarnow, Rahul Singh:
Determining Dose-Response Characteristics of Molecular Perturbations in Whole-Organism Assays Using Biological Imaging and Machine Learning. 283-290 - Camille Besançon, Alexandre Guillot, Sébastien Blaise, Manuel Dauchez, Nicolas Belloy, Jessica Prévoteau-Jonquet, Stéphanie Baud:
New visualization of dynamical flexibility of N-Glycans: Umbrella Visualization in UnityMol. 291-298 - Mykola Galushka, Fiona Browne, Maurice D. Mulvenna, Raymond R. Bond, Gaye Lightbody:
Toxicity Prediction Using Pre-trained Autoencoder. 299-304 - Ran Wang, Shuai Li, Man Hon Wong, Kwong-Sak Leung:
Drug-Protein-Disease Association Prediction and Drug Repositioning Based on Tensor Decomposition. 305-312 - Daniel Bis, Canlin Zhang, Xiuwen Liu, Zhe He:
Layered Multistep Bidirectional Long Short-Term Memory Networks for Biomedical Word Sense Disambiguation. 313-320 - Imen Chakroun, Nick Michiels, Roel Wuyts:
GPU-accelerated CellProfiler. 321-326 - Sadegh Charmchi, Kumaradevan Punithakumar, Pierre Boulanger:
Optimizing U-Net to Segment Left Ventricle from Magnetic Resonance Imaging. 327-332 - Suyang Dai, Zihan Zhang, Wenxuan Zuo, Xiaodi Huang, Shanfeng Zhu:
GrantExtractor: A Winning System for Extracting Grant Support Information from Biomedical Literature. 333-340 - Arghya Kusum Das, Kisung Lee, Seung-Jong Park:
ParLECH: Parallel Long-Read Error Correction with Hadoop. 341-348 - Jinglong Du, Lulu Wang, Ali Gholipour, Zhongshi He, Yuanyuan Jia:
Accelerated Super-resolution MR Image Reconstruction via a 3D Densely Connected Deep Convolutional Neural Network. 349-355 - Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen:
Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics. 356-361 - Yongping Du, Bingbing Pei, Xiaozheng Zhao, Junzhong Ji:
Hierarchical Multi-layer Transfer Learning Model for Biomedical Question Answering. 362-367 - Ahmed Fares, Sheng-hua Zhong, Jianmin Jiang:
Region level Bi-directional Deep Learning Framework for EEG-based Image Classification. 368-373 - Jiaqi Guan, Runzhe Li, Sheng Yu, Xuegong Zhang:
Generation of Synthetic Electronic Medical Record Text. 374-380 - Jie Hao, Youngsoon Kim, Tejaswini Mallavarapu, Jung Hun Oh, Mingon Kang:
Cox-PASNet: Pathway-based Sparse Deep Neural Network for Survival Analysis. 381-386 - Satoshi Ito, Masaaki Yadome, Tatsuo Nishiki, Shigeru Ishiduki, Hikaru Inoue, Rui Yamaguchi, Satoru Miyano:
Virtual Grid Engine: Accelerating thousands of omics sample analyses using large-scale supercomputers. 387-392 - Hongryul Ahn, Inuk Jung, Heejoon Chae, Dongwon Kang, Woosuk Jung, Sun Kim:
HTRgene: Integrating Multiple Heterogeneous Time-series Data to Investigate Cold and Heat Stress Response Signaling Genes in Arabidopsis. 393-398 - Dongwon Kang, Hongryul Ahn, Sangseon Lee, Chai-Jin Lee, Jihye Hur, Woosuk Jung, Sun Kim:
Identifying stress-related genes and predicting stress types in Arabidopsis using logical correlation layer and CMCL loss through time-series data. 399-404 - Suyeon Kim, Ishwor Thapa, Hesham H. Ali:
A Graph-Theoretic Approach for Identifying Bacterial Inter-correlations and Functional Pathways in Microbiome Data. 405-411 - Xianghao Kong, Wanzeng Kong, Qiaonan Fan, Qibin Zhao, Andrzej Cichocki:
Task-Independent EEG Identification via Low-Rank Matrix Decomposition. 412-419 - Qi Li, Xuan Wang, Yu Zhang, Fei Ling, Cathy H. Wu, Jiawei Han:
Pattern Discovery for Wide-Window Open Information Extraction in Biomedical Literature. 420-427 - Xusheng Li, Xiaoyan Wang, Ran Zhong, Duo Zhong, Tingting He, Xiaohua Hu, Xingpeng Jiang:
A Hybrid Deep Learning Framework for Bacterial Named Entity Recognition. 428-433 - Kefei Liu, Li Shen, Hui Jian:
A Unified Model for Robust Differential Expression Analysis of RNA-Seq Data. 437-442 - Min Liu, Huiqiong Luo, Yinghui Tan, Xueping Wang, Weixun Chen:
Improved V-Net Based Image Segmentation for 3D Neuron Reconstruction. 443-448 - Min Liu, Chao Wang, Weixun Chen:
3D Neuron Branch Points Detection in Microscopy Images. 449-454 - Min Liu, Lehui Wu, Weili Qian, Yalan Liu:
Cell Tracking Across Noisy Image Sequences Via Faster R-CNN and Dynamic Local Graph Matching. 455-460 - Yuan Luo, Peter Szolovits:
Implementing a Portable Clinical NLP System with a Common Data Model - a Lisp Perspective. 461-466 - Ling Luo, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang, Liang Yang, Kan Xu, Yijia Zhang:
Protein-Protein Interaction Article Classification: A Knowledge-enriched Self-Attention Convolutional Neural Network Approach. 467-469 - Tejaswini Mallavarapu, Jie Hao, Youngsoon Kim, Jung Hun Oh, Mingon Kang:
PASCL: Pathway-based Sparse Deep Clustering for Identifying Unknown Cancer Subtypes. 470-475 - Mario Merone, Panaiotis Finamore, Claudio Pedone, Raffaele Antonelli Incalzi, Giulio Iannello, Paolo Soda:
Discovering COPD phenotyping via simultaneous feature selection and clustering. 476-481 - Ruiqi Qin, Lei Duan, Huiru Zheng, Jesse Li-Ling, Kaiwen Song, Xuan Lan:
RADAR: Representation Learning across Disease Information Networks for Similar Disease Detection. 482-487 - Thomas Brox Røst, Christine Raaen Tvedt, Haldor Husby, Ingrid Andås Berg, Øystein Nytrø:
Capturing Central Venous Catheterization Events in Health Record Texts*. 488-495 - Sheng Ni, Chen Lin, Xiangxiang Zeng, Yun Liang:
Drug Target Interaction Prediction with Non-random Missing Labels. 496-501 - Chunlei Tang, Joseph M. Plasek, Haohan Zhang, Yun Xiong, David W. Bates, Li Zhou:
A Deep Learning Approach to Handling Temporal Variation in Chronic Obstructive Pulmonary Disease Progression. 502-509 - Oliver L. Tessmer, David M. Kramer, Jin Chen:
OLIVER: A Tool for Visual Data Analysis on Longitudinal Plant Phenomics Data. 510-517 - Yongtian Wang, Liran Juan, Jiajie Peng, Tianyi Zang, Yadong Wang:
Predicting candidate disease-related lncRNAs based on network random walk. 524-531 - Shuo Wang, Yang Hua, Yunyun Cao, Tao Song, Zhengui Xue, Xiaoping Gong, Guanjie Wang, Ruhui Ma, Haibing Guan:
Deep Learning based Fetal Middle Cerebral Artery Segmentation in Large-scale Ultrasound Images. 532-539 - Xuan Wang, Yu Zhang, Qi Li, Cathy H. Wu, Jiawei Han:
PENNER: Pattern-enhanced Nested Named Entity Recognition in Biomedical Literature. 540-547 - Yun Xiong, Lu Ruan, Mengjie Guo, Chunlei Tang, Xiangnan Kong, Yangyong Zhu, Wei Wang:
Predicting Disease-related Associations by Heterogeneous Network Embedding. 548-555 - Bo Xu, Hongfei Lin, Liang Yang, Kan Xu, Yijia Zhang, Dongyu Zhang, Zhihao Yang, Jian Wang, Yuan Lin, Fuliang Yin:
Improve Diversity-oriented Biomedical Information Retrieval using Supervised Query Expansion. 556-559 - Bo Xu, Xiufeng Shi, Zhehuan Zhao, Wei Zheng, Hongfei Lin, Zhihao Yang, Jian Wang, Feng Xia:
Full-attention Based Drug Drug Interaction Extraction Exploiting User-generated Content. 560-565 - Bo Yang, Shuhui Liu, Shanmin Pang, Chenpai Pang, Xuequn Shang:
Deep Subspace Similarity Fusion for the Prediction of Cancer Subtypes. 566-571 - Guoxian Yu, Yuehui Wang, Jun Wang, Guangyuan Fu, Maozu Guo, Carlotta Domeniconi:
Weighted matrix factorization based data fusion for predicting lncRNA-disease associations. 572-577 - Na Yu, Ying-Lian Gao, Jin-Xing Liu, Juan Wang, Junliang Shang:
Hypergraph regularized NMF by L2, 1-norm for Clustering and Com-abnormal Expression Genes Selection. 578-582 - Min Zeng, Min Li, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Yi Pan:
A Deep Learning Framework for Identifying Essential Proteins Based on Protein-Protein Interaction Network and Gene Expression Data. 583-588 - Shuai Zeng, Zhen Lyu, Siva Ratna Kumari Narisetti, Dong Xu, Trupti Joshi:
Knowledge Base Commons (KBCommons) v1.0: A multi OMICS' web-based data integration framework for biological discoveries. 589-594 - Da Zhang, Mansur R. Kabuka:
Multimodal Deep Representation Learning for Protein-Protein Interaction Networks. 595-602 - Guangyu Zhou, Jyun-Yu Jiang, Chelsea J.-T. Ju, Wei Wang:
Inferring Microbial Communities for City Scale Metagenomics Using Neural Networks. 603-608 - Walid Abdullah Al, Il Dong Yun:
Actor-Critic Reinforcement Learning for Automatic Left Atrial Appendage Segmentation. 609-612 - Renato Borges-Junior, Rogerio Salvini, Andrew A. Nierenberg, Gary S. Sachs, Beny Lafer, Rodrigo S. Dias:
Forecasting depressive relapse in Bipolar Disorder from clinical data. 613-616 - Houssein Dhayne, Rima Kilany, Rafiqul Haque, Yehia Taher:
SeDIE: A Semantic-Driven Engine for Integration of Healthcare Data. 617-622 - Yaodong Du, Juan Shan, Rania Almajalid, Tomer Alon, Ming Zhang:
Using Whole Knee Cartilage Damage Index to Predict Knee Osteoarthritis: A Two-year Longitudinal Study. 623-628 - Mafalda Falcao Ferreira, Rui Camacho, Luís Filipe Teixeira:
Autoencoders as Weight Initialization of Deep Classification Networks Applied to Papillary Thyroid Carcinoma. 629-632 - Jiang Gu, Yichen Zhu, Bohong Yang, Jingkai Jia, Juanjuan Wang, Jian Yang, Wenqiang Zhang:
A Multi-scale Pyramid of Fully Convolutional Networks for Automatic Cell Detection. 633-636