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ORCIDBIBM 2015: Washington, DC, USA
- Jun Huan, Satoru Miyano, Amarda Shehu, Xiaohua Tony Hu, Bin Ma, Sanguthevar Rajasekaran, Vijay K. Gombar, Matthieu-P. Schapranow, Illhoi Yoo, Jiayu Zhou, Brian Chen, Vinay Pai, Brian G. Pierce:
2015 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015, Washington, DC, USA, November 9-12, 2015. IEEE Computer Society 2015, ISBN 978-1-4673-6799-8
- Philip E. Bourne:
Big data in biomedicine - An NIH perspective. 1 - Mihai Pop
:
Computational challenges in microbiome research. 2 - Srinivas Aluru:
Parallel machine learning approaches for reverse engineering genome-scale networks. 3 - Eric P. Xing:
Toward personalized pan-omic association analysis under complex structures and big data. 4 - Jose A. Arjona-Medina, Oswaldo Trelles:
Computational Synteny Block: A framework to identify evolutionary events. 5-12 - Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu:
Evolutionary search strategies for efficient sample-based representations of multiple-basin protein energy landscapes. 13-20 - Mark Moll, Paul W. Finn, Lydia E. Kavraki:
Structure-guided selection of Specificity Determining Positions in the human kinome. 21-28 - Kai Tian, Mingyu Shao, Shuigeng Zhou, Jihong Guan:
Boosting compound-protein interaction prediction by deep learning. 29-34 - Tatiana Maximova, Erion Plaku, Amarda Shehu:
Computing transition paths in multiple-basin proteins with a probabilistic roadmap algorithm guided by structure data. 35-42 - Losiana Nayak, Nitai P. Bhattacharyya, Rajat K. De:
A module tree of Wnt signal transduction pathways. 43-48 - Yetian Fan, Xingpeng Jiang, Xiaohua Hu, Bo Song, Yuan Ling, Wei Wu:
A novel dimensionality reduction algorithm based on Laplace matrix for microbiome data analysis. 49-54 - Antonio Sze-To, Sanderz Fung, En-Shiun Annie Lee, Andrew K. C. Wong:
Predicting Protein-protein interaction using co-occurring Aligned Pattern Clusters. 55-60 - Chinwe Ekenna, Shawna L. Thomas, Nancy M. Amato:
Adaptive local learning in sampling based motion planning for protein folding. 61-68 - Richard Beal, Tazin Afrin, Aliya Farheen, Don Adjeroh:
A new algorithm for "the LCS problem" with application in compressing genome resequencing data. 69-74 - Ziyi Guo, Katya Scheinberg, Juliana Hong, Brian Yuan Chen:
Superposition of protein structures using electrostatic isopotentials. 75-82 - Yongchao Liu, Martin Loewer, Srinivas Aluru, Bertil Schmidt:
SNVSniffer: An integrated caller for germline and somatic SNVs based on Bayesian models. 83-90 - Xiaoyang Jing, Qiwen Dong, Xuan Liu, Bin Liu:
Protein model quality assessment by learning-to-rank. 91-96 - Tengpeng Li, Changsheng Zhang, Bo Xu, Hongmin Cai, Fuqiang Li:
MALBACsim: A Multiple Annealing and Looping Based Amplification Cycles simulator. 97-100 - Seth Greenstein, James Holt, Leonard McMillan:
Short read error correction using an FM-index. 101-104 - Sepideh Mazrouee, Wei Wang:
HapColor: A graph coloring framework for polyploidy phasing. 105-108 - Xianjun Shen, Yi Li, Xingpeng Jiang, Yanli Zhao, Tingting He, Jincai Yang:
Detecting temporal protein complexes based on Neighbor Closeness and time course protein interaction networks. 109-112 - Suzanne J. Matthews:
Accurate simulation of large collections of phylogenetic trees. 113-118 - Xingpeng Jiang, Xiaohua Hu, Tingting He:
Time series analysis of microbiome data regularized by local linear manifold. 119-122 - Dan He, Laxmi Parida:
Does encoding matter? A novel view on the quantitative genetic trait prediction problem. 123-126 - Jeremy R. Wang, Corbin D. Jones:
Fast alignment filtering of nanopore sequencing reads using locality-sensitive hashing. 127-130 - Tingyang Xu, Jiangwen Sun, Erin E. Connor, Jinbo Bi:
Quantifying feed efficiency of dairy cattle for genome-wide association analysis. 131-134 - Ahoi Jones, Hamid D. Ismail, Jung H. Kim, Robert H. Newman, K. C. Dukka B.:
RF-Phos: Random forest-based prediction of phosphorylation sites. 135-140 - Lin Zhu, Wei-Li Guo, De-Shuang Huang, Canyi Lu:
Imputation of ChIP-seq datasets via Low Rank Convex Co-Embedding. 141-144 - Dong-Chul Kim, Mingon Kang, Ashis Kumer Biswas, Chunyu Liu, Jean Gao:
Integrative approach for inference of gene regulatory networks using lasso-based random featuring and application to Psychiatric disorders. 145-150 - Wenwen Min, Juan Liu, Fei Luo, Shi-Hua Zhang:
A novel two-stage method for identifying microRNA-gene regulatory modules in breast cancer. 151-156 - Qiyao Wang, Yuanfang Ren, Md Mahmudul Hasan, Ahmet Ay, Tamer Kahveci:
Construction of signaling networks with incomplete RNAi data. 157-162 - Lu Zhang, Yen Kaow Ng, Shuaicheng Li:
Reconstructing directed gene regulatory network by only gene expression data. 163-170 - Yu-Chiao Chiu, Kai-Wen Liang, Tzu-Hung Hsiao, Yidong Chen, Eric Y. Chuang:
Analyzing differential regulatory networks modulated by continuous-state genomic features in glioblastoma multiforme. 171-176 - Narmada Sambaturu, Madhulika Mishra, Nagasuma Chandra:
EpiTracer - an algorithm for identifying epicenters in condition-specific biological networks. 177-182 - Wei Lan, Jianxin Wang, Min Li, Jin Liu, Yi Pan:
Predicting microRNA-disease associations by integrating multiple biological information. 183-188 - Chuanchao Zhang, Juan Liu, Qianqian Shi, Tao Zeng, Luonan Chen:
Identification of phenotypic networks based on whole transcriptome by comparative network decomposition. 189-194 - Bolin Chen, Xuequn Shang, Min Li, Jianxin Wang, Fang-Xiang Wu:
A two-step logistic regression algorithm for identifying individual-cancer-related genes. 195-200 - Lei Huang, Li Liao, Cathy H. Wu:
Protein-protein interaction network inference from multiple kernels with optimization based on random walk by linear programming. 201-207 - Chong He, Hui-Hui Li, Changbo Zhao, Guo-Zheng Li, Wei Zhang:
Triple imputation for microarray missing value estimation. 208-213 - Yuanhang Liu, Desiree Wilson, Robin J. Leach, Yidong Chen:
Model-based and context-specific background correction and differential methylation testing for MBDCap-seq. 214-219 - Joseph Crawford, Tijana Milenkovic:
GREAT: GRaphlet Edge-based network AlignmenT. 220-227 - Minkun Wang, Tsung-Heng Tsai, Guoqiang Yu, Habtom W. Ressom:
Purification of LC/GC-MS based biomolecular expression profiles using a topic model. 228-233 - Juli Petereit, Frederick C. Harris Jr., Karen Schlauch:
petal: A novel co-expression network modeling system. 234-241 - Seong Gon Kim, Nawanol Theera-Ampornpunt, Ananth Grama, Somali Chaterji:
Interpretable deep neural networks for enhancer prediction. 242-249 - Hongbo Zhang, Lin Zhu, Deshuang Huang:
DiscMLA: AUC-based discriminative motif learning. 250-255 - Neil R. Clark, Maciej Szymkiewicz, Zichen Wang, Caroline D. Monteiro, Matthew R. Jones, Avi Ma'ayan:
Principle Angle Enrichment Analysis (PAEA): Dimensionally reduced multivariate gene set enrichment analysis tool. 256-262 - Yushan Qiu, Xiaoqing Cheng, Wai-Ki Ching, Hao Jiang, Tatsuya Akutsu:
On observability of attractors in Boolean Networks. 263-266 - Nishchal K. Verma, Esha Dutta, Yan Cui:
Hausdorff distance and global silhouette index as novel measures for estimating quality of biclusters. 267-272 - Junbai Wang, Qianqian Wu, Tianhai Tian:
Integrated study to infer dynamic protein-gene interactions in human p53 regulatory networks. 273-276 - Xiaoqing Peng, Jianxin Wang, Jiancheng Zhong, Junwei Luo, Yi Pan:
An efficient method to identify essential proteins for different species by integrating protein subcellular localization information. 277-280 - Emna Ben Abdallah, Maxime Folschette, Olivier F. Roux, Morgan Magnin:
Exhaustive analysis of dynamical properties of Biological Regulatory Networks with Answer Set Programming. 281-285 - Xijun Liang, Zhonghang Xia, Ling Jian, Xinnan Niu, Andrew J. Link:
An efficient ACS algorithm for classification-based peptide identification. 286-289 - Somaye Hashemifar, Behnam Neyshabur, Jinbo Xu:
Joint inference of tissue-specific networks with a scale free topology. 290-294 - Jiang Shu, Kevin Chiang, Dongyu Zhao, Juan Cui:
Human absorbable microRNA prediction based on an ensemble manifold ranking model. 295-300 - Jasjit K. Banwait, Schuyler P. Dougherty, Ishwor Thapa, Dhundy Kiran Bastola:
Guilt-by association approach to identify novel human aging-related genes using protein domains. 301-304 - Ik-Soo Huh, Soojin V. Yi, Taesung Park:
A test for detecting differentially methylated regions. 305-308 - Catherine P. Jayapandian, Wei Wang, Michael G. Morrical, Dennis A. Dean, Shiqiang Tao, Daniel R. Mobley, Matthew Kim, Michael Rueschman, Kenneth A. Loparo, Susan Redline, Guo-Qiang Zhang:
RREV: Reconfigurable Rendering Engine for visualization of clinically annotated polysomnograms. 309-316 - Fatima Boukari, Sokratis Makrogiannis:
Spatio-temporal diffusion-based dynamic cell segmentation. 317-324 - Guangxu Xun, Xiaowei Jia, Aidong Zhang:
Context-learning based electroencephalogram analysis for epileptic seizure detection. 325-330 - Eric Heim, Milos Hauskrecht:
Sparse multidimensional patient modeling using auxiliary confidence labels. 331-336 - Manar D. Samad, Jonna L. Bobzien, John W. Harrington, Khan M. Iftekharuddin:
Analysis of facial muscle activation in children with autism using 3D imaging. 337-342 - Aron Henriksson, Jing Zhao, Henrik Boström, Hercules Dalianis:
Modeling electronic health records in ensembles of semantic spaces for adverse drug event detection. 343-350 - Christopher Ma, Zhendong Zhao, Tina Gui, Yixin Chen, Xin Dang, Dawn Wilkins:
A generative Bayesian model to identify cancer driver genes. 351-356 - Yizhe Zhang, Lin Yang, John D. MacKenzie, Rageshree Ramachandran, Danny Z. Chen:
A seeding-searching-ensemble method for gland segmentation and detection. 357-362 - Sadia Shakil, Shella Dawn Keilholz, Chin-Hui Lee:
On frequency dependencies of sliding window correlation. 363-368 - JianBing Yi, Yan-Ran Li, Xuan Yang, Tiancheng He, Guoliang Chen:
Robust point matching by l1 regularization. 369-374 - Jing Zhao:
Temporal weighting of clinical events in electronic health records for pharmacovigilance. 375-381 - Dimah Dera, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh:
Level set segmentation using non-negative matrix factorization of brain MRI images. 382-387 - Gene Shuman, Zoran Duric, Daniel Barbará, Jessica Lin, Lynn H. Gerber:
Using myoelectric signals to recognize grips and movements of the hand. 388-394 - Jing Chen, Bin Hu, Lixin Xu, Philip Moore, Yun Su:
Feature-level fusion of multimodal physiological signals for emotion recognition. 395-399 - Fu-Hsing Wu, Hsin-Chih Lo:
Quantitative assessment of the parallel MRI reconstruction using background noise uniformity. 400-404 - Hongxia Gao, Yinghao Luo, Kewei Chen, Ge Ma, Lixuan Wu:
An image reconstruction model and hybrid algorithm for limited-angle projection data. 405-408 - Yi Ding, Cong Zhang, Tian Lan, Zhiguang Qin, Xinjie Zhang, Wei Wang:
Classification of Alzheimer's disease based on the combination of morphometric feature and texture feature. 409-412 - Jingyao Li, Dongdong Lin, Yu-Ping Wang:
Segmentation of Multicolor Fluorescence In-Situ Hybridization (M-FISH) image using an improved Fuzzy C-means clustering algorithm while incorporating both spatial and spectral information. 413-416 - Shantia Yarahmadian, Vineetha Menon, Vahid Rezania:
On using Compressed Sensing and peak detection method for the Dynamic Instability parameters estimation for Microtubules modeled in three states. 417-420 - Linmin Pei, Syed M. S. Reza, Khan M. Iftekharuddin:
Improved brain tumor growth prediction and segmentation in longitudinal brain MRI. 421-424 - Xuan Yang, Bo Wang, Yan-Ran Li, Tiancheng He:
Robust landmark-based image registration using l1 and l2 norm regularizations. 425-428 - Jian Wang, Jianhai Zhang, Yuan An, Hongfei Lin, Zhihao Yang, Yijia Zhang, Yuanyuan Sun:
Biomedical event trigger detection by dependency-based word embedding. 429-432 - Faisal M. Khan, Casimir A. Kulikowski:
Survival analysis via transduction for semi-supervised neural networks in medical prognosis. 433-437 - Paolo Rota, Stefanie Groeneveld-Krentz, Michael Reiter:
On automated Flow Cytometric analysis for MRD estimation of Acute Lymphoblastic Leukaemia: A comparison among different approaches. 438-441 - Hui-Hui Wang, Jia-Ming Liu, Mingyu You, Guo-Zheng Li:
Audio signals encoding for cough classification using convolutional neural networks: A comparative study. 442-445 - Layan Nahlawi, Farhad Imani, Mena Gaed, Jose A. Gomez, Madeleine Moussa, Eli Gibson, Aaron Fenster, Aaron D. Ward, Purang Abolmaesumi, Parvin Mousavi, Hagit Shatkay:
Using Hidden Markov Models to capture temporal aspects of ultrasound data in prostate cancer. 446-449 - Filiz Bunyak, Adel Hafiane, Zahraa Al-Milaji, Ilker Ersoy, Anoop Haridas, Kannappan Palaniappan:
A segmentation-based multi-scale framework for the classification of epithelial and stromal tissues in H&E images. 450-453 - Bradley Ebinger, Nidhal Bouaynaya, Petia Georgieva, Lyudmila Mihaylova:
EEG dynamic source localization using Marginalized Particle Filtering. 454-457 - Yongqiang Dai, Bin Hu, Yun Su, Chengsheng Mao, Jing Chen, Xiaowei Zhang, Philip Moore, Lixin Xu, Hanshu Cai:
Feature selection of high-dimensional biomedical data using improved SFLA for disease diagnosis. 458-463 - Bo Xu, Hongfei Lin, Yuan Lin, Yunlong Ma, Liang Yang, Jian Wang, Zhihao Yang:
Learning to rank for biomedical information retrieval. 464-469 - Qiwen Dong, Shanyi Wang, Kai Wang, Xuan Liu, Bin Liu:
Identification of DNA-binding proteins by auto-cross covariance transformation. 470-475 - Ankur Agrawal, Yehoshua Perl, Christopher Ochs, Gai Elhanan:
Algorithmic detection of inconsistent modeling among SNOMED CT concepts by combining lexical and structural indicators. 476-483 - Alex S. Felmeister, Tyler J. Rivera, Aaron J. Masino, Adam C. Resnick, Jeffrey W. Pennington:
Scalable biobanking: A modular electronic Honest Broker and Biorepository for integrated clinical, specimen and genomic research. 484-490 - Hayda Almeida, Marie-Jean Meurs, Leila Kosseim, Adrian Tsang:
Supporting HIV literature screening with data sampling and supervised learning. 491-496 - Tian Bai, Leiguang Gong, Casimir A. Kulikowski, Lan Huang:
Implicit knowledge discovery in biomedical ontologies: Computing interesting relatednesses. 497-502 - Haidong Lan, Weiguo Liu, Bertil Schmidt, Bingqiang Wang:
Accelerating large-scale biological database search on Xeon Phi-based neo-heterogeneous architectures. 503-510 - Maziyar Baran Pouyan, Vasu Jindal, Javad Birjandtalab, Mehrdad Nourani:
A two-stage clustering technique for automatic biaxial gating of flow cytometry data. 511-516 - Qiaoli Hu, Young-Rae Cho:
An integrative measure of graph- and vector-based semantic similarity using information content distance. 517-522 - Bojian Xu:
On stabbing queries for generalized longest repeat. 523-530 - Yanqing Ji, Hao Ying, John Tran, Peter Dews, R. Michael Massanari:
Integrating association mining into relevance feedback for biomedical literature search. 531-536 - Soumitra Pal, Sanguthevar Rajasekaran:
Improved algorithms for finding edit distance based motifs. 537-542 - Zhaohui Liang, Gang Zhang, Jimmy Xiangji Huang:
Discovery of the relations between genetic polymorphism and adverse drug reactions. 543-548 - Guangxu Xun, Xiaoyi Li, Marc R. Knecht, Paras N. Prasad, Mark T. Swihart, Tiffany R. Walsh, Aidong Zhang:
Identifying inorganic material affinity classes for peptide sequences based on context learning. 549-554 - Pei Chen, Shuoyang Qiu, Yue Wang, Yongjun Li:
Identifying the pre-transition state during biological processes by hidden Markov model. 555-562 - Mingon Kang, Juyoung Park, Dong-Chul Kim, Ashis Kumer Biswas, Chunyu Liu, Jean Gao:
An integrative genomic study for multimodal genomic data using multi-block bipartite graph. 563-568 - Qiang Yu, Hongwei Huo, Ruixing Zhao, Dazheng Feng, Jeffrey Scott Vitter, Jun Huan:
Reference sequence selection for motif searches. 569-574 - Akshay Balasubramanya, Ishwor Thapa, Dhundy Bastola, Dario Ghersi:
A novel approach to identify shared fragments in drugs and natural products. 575-580 - Haiying Wang, Huiru Zheng:
Integrating omics data for identifying disease subtypes: A multiplex network-based approach. 581-586 - Brittany R. Hoard, Bruna Jacobson, Kasra Manavi, Lydia Tapia:
Extending rule-based methods to model molecular geometry. 587-594 - Kamal Taha:
Semantic rules for extracting proteins functions information from biomedical abstracts. 595-598 - Fei Li, Dong-Hong Ji, Xiaomei Wei, Tao Qian:
A transition-based model for jointly extracting drugs, diseases and adverse drug events. 599-602 - Chen Qiao, Dongdong Lin, Shaolong Cao, Yu-Ping Wang:
The effective diagnosis of schizophrenia by using multi-layer RBMs deep networks. 603-606 - Patrick J. Dunn, Elizabeth Thomson, John Campbell, Thomas Smith, Vincent Desborough, Jeffrey A. Wiser, Henry Schaefer, Sanchita Bhattacharya, Atul J. Butte, Sandra Andorf, Mazen Nasrallah:
ImmPort: Shared research data for bioinformatics and immunology. 607-610 - Oliver Bonham-Carter, Dhundy R. Bastola:
A text mining application for linking functionally stressed-proteins to their post-translational modifications. 611-614 - Michael Andel, Filip Masri, Jirí Kléma, Zdenek Krejcík, Monika Belickova:
Sparse omics-network regularization to increase interpretability and performance of linear classification models. 615-620 - Jingshan Huang, Karen Eilbeck, Judith A. Blake, Dejing Dou, Darren A. Natale, Alan Ruttenberg, Barry Smith, Michael T. Zimmermann, Guoqian Jiang, Yu Lin, Bin Wu, Yongqun He, Shaojie Zhang, Xiaowei Wang, He Zhang, Zixing Liu, Ming Tan:
A domain ontology for the Non-Coding RNA field. 621-624 - Zhenchao Jiang, Lishuang Li, Degen Huang, Liuke Jin:
Training word embeddings for deep learning in biomedical text mining tasks. 625-628