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ORCIDBIBM 2017: Kansas City, MO, USA
- Xiaohua Hu, Chi-Ren Shyu, Yana Bromberg, Jean Gao, Yang Gong, Dmitry Korkin, Illhoi Yoo, Huiru Jane Zheng:
2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017, Kansas City, MO, USA, November 13-16, 2017. IEEE Computer Society 2017, ISBN 978-1-5090-3050-7 - Rosario I. Corona, Sanjana Sudarshan, Jun-tao Guo, Srinivas Aluru:
Confidence assessment of protein-DNA complex models. 9-15 - Ye Han, Fei He, Xian Tan, Helong Yu:
Effective small interfering RNA design based on convolutional neural network. 16-21 - Wanli Qiao, Tatiana Maximova, Xiaowen Fang, Erion Plaku
, Amarda Shehu:
Reconstructing and mining protein energy landscape to understand disease. 22-27 - Antonio Sze-To, Andrew K. C. Wong:
Pattern-directed aligned pattern clustering. 28-35 - Jun Tan, Donald A. Adjeroh:
Structure-based protein family signature: Efficient comparison of multidomain proteins. 36-41 - Ronghui You, Shanfeng Zhu:
DeepText2Go: Improving large-scale protein function prediction with deep semantic text representation. 42-49 - Jingpu Zhang, Shuai Zou, Lei Deng:
BiRWLGO: A global network-based strategy for lncRNA function annotation using bi-random walk. 50-55 - Xiaoyu Zhang, Xiangke Liao, Hao Zhu, Kenli Li, Benyun Shi, Shaoliang Peng:
A novel algorithm for detecting co-evolutionary domains in protein and nucleotide sequences. 56-61 - Pei-Yuan Zhou, Antonio Sze-Tzo, Andrew K. C. Wong:
Discovery and disentanglement of protein aligned pattern clusters to reveal subtle functional subgroups. 62-69 - Joao Almeida, Joana Ferreira, Rui Camacho, Luísa Pereira:
Co-expression networks between protein encoding mitochondrial genes and all the remaining genes in human tissues. 70-73 - Ron Ayoub, Yugyung Lee:
RUPEE: Scalable protein structure search using run position encoded residue descriptors. 74-78 - Sairam Behera, Xianjun Li, James C. Schnable, Jitender S. Deogun:
DiCE: Discovery of conserved noncoding sequences efficiently. 79-82 - Ryan Ehrlich, Dario Ghersi:
Analyzing T cell receptor alpha/beta usage in binding to the pMHC. 83-87 - Junqiang Wang, Yun Xiao, Zixiang Wang, Weihua Zhan, Lei Deng:
Combining diffusion and HeteSim features for accurate prediction of protein-lncRNA interactions. 88-91 - Yan Zhang, Bo Zhang, W. Jim Zheng, Jijun Tang, Feng Yue:
HiCComp: Multiple-level comparative analysis of Hi-C data by triplet network. 92-96 - Chunyu Zhao, Yizhou Zang, Wei Quan, Xiaohua Hu, Ahmet Sacan:
HIV1-human protein-protein interaction prediction based on interface architecture similarity. 97-100 - Zeynep Hakguder, Chunxiao Liao, Jiang Shu, Juan Cui:
A new statistical model for genome-scale MicroRNA target prediction. 101-107 - Fei He, Lingling Bao, Rui Wang, Jiagen Li, Dong Xu, Xiaowei Zhao:
A multimodal deep architecture for large-scale protein ubiquitylation site prediction. 108-113 - Haiying Wang, Huiru Zheng, Richard J. Dewhurst, Rainer Roehe:
Microbial co-presence and mutual-exclusion networks in the Bovine rumen microbiome. 114-119 - Yuanyuan Zhu, Yuezhi Li, Juan Liu, Lu Qin, Jeffrey Xu Yu:
GMAlign: A new network aligner for revealing large conserved functional components. 120-127 - Roberta Bardini, Gianfranco Politano, Alfredo Benso, Stefano Di Carlo:
Using multi-level Petri nets models to simulate microbiota resistance to antibiotics. 128-133 - Rahul Metri, Shikhar Saxena, Madhulika Mishra, Nagasuma Chandra:
Modelling metabolic rewiring during melanoma progression using flux balance analysis. 134-137 - Shuhao Sun, Fima C. Klebaner, Tianhai Tian:
Mathematical model for pancreatic cancer progression using non-constant gene mutation rate. 138-141 - Nhat Tran, Vinay Abhyankar, Kytai Nguyen, Ishfaq Ahmad, Jon Weidanz, Jean Gao:
MicroRNA dysregulational synergistic network: Learning context-specific MicroRNA dysregulations in lung cancer subtypes. 142-145 - Hongbo Zhang, De-Shuang Huang:
Soft-bag based motif discovery for ChIP-seq datasets. 146-149 - Wenjian Bi, Guolian Kang, Stanley Pounds:
Statistical selection of biological models for genome-wide association analyses. 150-157 - Ashis Kumer Biswas, Jean Gao:
LiDiAimc: LincRNA-disease associations through inductive matrix completion. 158-163 - Jialu Hu, Yan Zheng, Xuequn Shang:
MiteFinder: A fast approach to identify miniature inverted-repeat transposable elements on a genome-wide scale. 164-168 - Natasha Pavlovikj, Etsuko N. Moriyama, Jitender S. Deogun:
Comparative analysis of alignment tools for nanopore reads. 169-174 - J. Sebastian Sigmon, Leonard McMillan:
Choosing optimal controls for genotyping arrays. 175-180 - Zachary D. Stephens, Ravishankar K. Iyer, Chen Wang, Jean-Pierre A. Kocher:
Unraveling complex local genomic rearrangements from long-read data. 181-187 - Tanjin Taher Toma, Zachary Williams, Jeremy M. Dawson, Donald A. Adjeroh:
What can one chromosome tell us about human biogeographical ancestry? 188-193 - Haohan Wang, Xiang Liu, Yunpeng Xiao, Ming Xu, Eric P. Xing:
Multiplex confounding factor correction for genomic association mapping with squared sparse linear mixed model. 194-201 - Tianyu Wang, Sheida Nabavi:
Differential gene expression analysis in single-cell RNA sequencing data. 202-207 - Mengmeng Wu, Wanwen Zeng, Wenqiang Liu, Yijia Zhang, Ting Chen, Rui Jiang:
Integrating embeddings of multiple gene networks to prioritize complex disease-associated genes. 208-215 - Binbin Wu, Jianxin Wang, Junwei Luo, Min Li, Fang-Xiang Wu, Yi Pan:
MEC: Misassembly error correction in contigs using a combination of paired-end reads and GC-contents. 216-221 - Runmin Yang, Daming Zhu, Qiang Kou, Poornima Bhat-Nakshatri, Harikrishna Nakshatri, Si Wu, Xiaowen Liu:
A spectrum graph-based protein sequence filtering algorithm for proteoform identification by top-down mass spectrometry. 222-229 - Fatima Zare, Sardar Ansari, Kayvan Najarian, Sheida Nabavi:
Noise cancellation for robust copy number variation detection using next generation sequencing data. 230-236 - Shenglong Zhu, Scott J. Emrich, Danny Z. Chen:
Inversion detection using PacBio long reads. 237-242 - Jingying Huang, Yuwen Zhou, Aodan Xu, Enhong Zhuo, Xin Jin, Hongmin Cai:
A copy-number variation detection pipeline for single cell sequencing data on BGI online. 243-246 - Rahul Nihalani, Sriram P. Chockalingam, Shaowei Zhu, Vijay V. Vazirani, Srinivas Aluru:
Probabilistic estimation of overlap graphs for large sequence datasets. 247-252 - Tayo Obafemi-Ajayi, Luke Settles, Yuqing Su, Cynthia Germeroth, Gayla R. Olbricht, Donald C. Wunsch, T. Nicole Takahashi, Judith H. Miles:
Genetic variant analysis of boys with Autism: A pilot study on linking facial phenotype to genotype. 253-257 - Yongxiang Wang, Xijun Liang, Zhonghang Xia, Xinnan Niu, Andrew J. Link, Haiqing Yin:
Improved classification model for peptide identification based on self-paced learning. 258-261 - Yan-Shuo Chu, Mingxiang Teng, Zhenxing Wang, Yongtian Wang, Yadong Wang:
Pre-SCNAClonal: Efficient GC bias correction for SCNA based tumor subclonal populations inferring. 262-265 - Lu Zhang, Qiuping Pan, Xintao Wu:
Modeling SNP and quantitative trait association from GWAS catalog using CLG Bayesian network. 266-269 - Yiyu Zheng, Xiaoman Li, Haiyan Hu:
Discover the semantic structure of human reference epigenome by differential latent dirichlet allocation. 270-275 - Jesus A. Beltran, Longendri Aguilera-Mendoza, Carlos A. Brizuela:
Feature weighting for antimicrobial peptides classification: A multi-objective evolutionary approach. 276-283 - Dong Yueli, Guo Quan, Sun Bin:
A molecular docking platform based on Hadoop. 284-287 - Chirag N. Patel, Sivakumar Prasanth Kumar, Himanshu A. Pandya, Krunal M. Modi, Daxesh P. Patel, Frank J. Gonzalez:
Retrieval of promiscuous natural compounds using multiple targets docking strategy: A case study on kinase polypharmacology. 288-291 - Ankur Agrawal, Paul Revelo:
Analysis of the consistency in the structural modeling of SNOMED CT and CORE problem list concepts. 292-296 - Rubén Armañanzas:
Ensemble graphs to reveal post-transcriptional regulatory networks in Alzheimer's disease. 297-304 - Wasim Al Assad, Maxim Topaz, John Tu, Li Zhou:
The application of machine learning to evaluate the adequacy of information in radiology orders. 305-310 - Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing, Andrew Y. Ng, Nigam H. Shah:
Improving palliative care with deep learning. 311-316 - Xuezhi Cao, Zhiyu Chen, Xinyi Zhang, Yong Yu:
IMAP: An iterative method for aligning protein-protein interaction networks. 317-324 - Wen Cao, Juan Shan, Nicholas Czarnek, Lin Li:
Microaneurysm detection in fundus images using small image patches and machine learning methods. 325-331 - Xueyuan Cao, E. Olusegun George, Mingjuan Wang, Dale B. Armstrong, Cheng Cheng, Susana C. Raimondi, Jeffrey E. Rubnitz, James R. Downing, Mondira Kundu, Stanley Pounds:
POST: A framework for set-based association analysis in high-dimensional data. 332-338 - Timothy Chappell, Shlomo Geva, James M. Hogan, Flavia Huygens, Wayne Kelly, Dimitri Perrin:
Signature-based clustering for analysis of the wound microbiome. 339-346 - Bing Feng, David C. Samuels, William Hoskins, Yan Guo, Yan Zhang, Jijun Tang, Zibo Meng:
Down syndrome prediction/screening model based on deep learning and illumina genotyping array. 347-352 - Jiabing Fu, Shoubin Dong:
ALL-CQS: Adaptive locality-based lossy compression of quality scores. 353-359 - Hong Peng, Jinlong Chao, Yongzong Wang, Bin Hu, Dennis Majoe:
Single-trial classification of fNIRS signal measured from prefrontal cortex during four directions motor imagery tasks. 360-366 - Jenny Jeong, Peng Qiu:
The relative importance of data points in systems biology and parameter estimation. 367-373 - Hsin-Chun Lee, Hung-Yu Kao:
CDRnN: A high performance chemical-disease recognizer in biomedical literature. 374-379 - Lishuang Li, Yuxin Jiang:
Biomedical named entity recognition based on the two channels and sentence-level reading control conditioned LSTM-CRF. 380-385 - Dingcheng Li, Peini Liu, Ming Huang, Yu Gu, Yue Zhang, Xiaodi Li, Daniel Dean, Xiaoxi Liu, Jingmin Xu, Hui Lei, Yaoping Ruan:
Mapping client messages to a unified data model with mixture feature embedding convolutional neural network. 386-391 - Jin Lu, Jiangwen Sun, Xinyu Wang, Henry R. Kranzler, Joel Gelernter, Jinbo Bi:
Collaborative phenotype inference from comorbid substance use disorders and genotypes. 392-397 - Tianle Ma, Aidong Zhang:
Integrate multi-omic data using affinity network fusion (ANF) for cancer patient clustering. 398-403 - Feng Qian, ChengYue Gong, Luchen Liu, Lei Sha, Ming Zhang:
Topic medical concept embedding: Multi-sense representation learning for medical concept. 404-409 - Mingjie Qian, Jyotishman Pathak, Naveen L. Pereira, Chengxiang Zhai:
Temporal reflected logistic regression for probabilistic heart failure survival score prediction. 410-416 - Chunyang Ruan, Ye Wang, Yanchun Zhang, Jiangang Ma, Huijuan Chen, Uwe Aickelin, Shanfeng Zhu, Ting Zhang:
THCluster: Herb supplements categorization for precision traditional Chinese medicine. 417-424 - Quoc-Nam Tran, Mike Wallinga:
UPS: A new approach for multiple sequence alignment using morphing techniques. 425-430 - Haohan Wang, Bryon Aragam, Eric P. Xing:
Variable selection in heterogeneous datasets: A truncated-rank sparse linear mixed model with applications to genome-wide association studies. 431-438 - Xiaoyan Wang, Xingpeng Jiang, Mengwen Liu, Tingting He, Xiaohua Hu:
Bacterial named entity recognition based on dictionary and conditional random field. 439-444 - Yan Wang, Jian Wang, Hongfei Lin, Shaowu Zhang, Lishuang Li:
Biomedical event trigger detection based on bidirectional LSTM and CRF. 445-450 - Weijie Liu, Anpeng Huang, Ping Wang:
BpMC: A novel algorithm retrieving multilayered tissue bio-optical properties for non-invasive blood glucose measurement. 451-456 - Anuradha Welivita, Indika Perera, Dulani Meedeniya:
An interactive workflow generator to support bioinformatics analysis through GPU acceleration. 457-462 - Bin Wu, Jingshan Huang, Mohan Vamsi Kasukurthi, Fangwan Huang, Jiang Bian, Keisuke Fukuo, Kazuhisa Suzuki, Gen Yoshino, Tsutomu Kazumi:
Combine biological experiments, statistical analysis, and semantic search to discover association among high-sensitive C-reactive protein, body fat mass distribution, and other cardiometabolic risk factors in young healthy women. 463-468 - Lingwei Xie, Zhongnan Zhang, Song He, Xiaochen Bo, Xinyu Song:
Drug - target interaction prediction with a deep-learning-based model. 469-476 - Wenhui Xing, Xiaohui Yuan, Lin Li, Jing Peng:
Cascade word embedding to sentence embedding: A class label enhanced approach to phenotype extraction. 477-484 - Bo Xu, Changlong Li, Hang Zhuang, Jiali Wang, Qingfeng Wang, Chao Wang, Xuehai Zhou:
Distributed gene clinical decision support system based on cloud computing. 485-490 - Shuo Yang, Fabian Hadiji, Kristian Kersting, Shaun J. Grannis, Sriraam Natarajan:
Modeling heart procedures from EHRs: An application of exponential families. 491-497 - Michael Youmans, Christian Spainhour, Peng Qiu:
Long short-term memory recurrent neural networks for antibacterial peptide identification. 498-502 - Wen Zhang, Xiang Yue, Yanlin Chen, Weiran Lin, Bolin Li, Feng Liu, Xiaohong Li:
Predicting drug-disease associations based on the known association bipartite network. 503-509 - Nauman Ahmed, Hamid Mushtaq, Koen Bertels, Zaid Al-Ars:
GPU accelerated API for alignment of genomics sequencing data. 510-515 - William Baskett, Matthew Spencer, Chi-Ren Shyu:
Efficient GPU-accelerated extraction of imperfect inverted repeats from DNA sequences. 516-520 - Dennis M. Bergau, Cong Liu, Hui Lu:
Prediction of human QT prolongation liability based on pre-clinical RNA expression profiles. 521-524 - Xingyu Cai, Abdullah-Al Mamun, Sanguthevar Rajasekaran:
Novel algorithms for finding the closest l-mers in biological data. 525-528 - Nolan Donoghue, Justin Gardin, Bruce Futcher, Steven Skiena:
Optimal codon pair bias design (extended abstract). 529-532 - Yongping Du, Yunpeng Pan, Junzhong Ji:
A novel serial deep multi-task learning model for large scale biomedical semantic indexing. 533-537 - Chen Fang, Chunfei Li, Mercedes Cabrerizo, Armando Barreto, Jean Andrian, David A. Loewenstein, Ranjan Duara, Malek Adjouadi:
A Gaussian discriminant analysis-based generative learning algorithm for the early diagnosis of mild cognitive impairment in Alzheimer's disease. 538-542 - Chen Fang, Panuwat Janwattanapong, Harold Martin, Mercedes Cabrerizo, Armando Barreto, David A. Loewenstein, Ranjan Duara, Malek Adjouadi:
Computerized neuropsychological assessment in mild cognitive impairment based on natural language processing-oriented feature extraction. 543-546 - Omar A. Ibrahim, James Keller, Mihail Popescu:
Context preserving representation of daily activities in elder care. 547-551 - Zhenchao Jiang, Liang Gu, Qingshan Jiang:
Drug drug interaction extraction from literature using a skeleton long short term memory neural network. 552-555 - Cheikhou Oumar Ka, Jean Marie Dembele, Christophe Cambier, Serge Stinckwich, Moussa Lo, Jean-Daniel Zucker:
Deterministic convection-diffusion approach for modeling cell motion and spatial organization: Experimentation on avascular tumor growth. 556-60 - Xinlei Li, Tong Yang, Yangyang Hu, Menglong Xu, Wenqiang Zhang, Fufeng Li:
Automatic tongue image matting for remote medical diagnosis. 561-564 - Lishuang Li, Yang Liu:
Exploiting argument information to improve biomedical event trigger identification via recurrent neural networks and supervised attention mechanisms. 565-568 - Siqi Liu, Adam Wright, Dean F. Sittig, Milos Hauskrecht:
Change-point detection for monitoring clinical decision support systems with a multi-process dynamic linear model. 569-572 - Nicholas J. Matiasz, Justin Wood, Wei Wang, Alcino J. Silva, William Hsu:
Translating literature into causal graphs: Toward automated experiment selection. 573-576 - Magdalena Metlicka, Mojtaba Nouri Bygi, Ileana Streinu:
Repairing gaps in Kinari-2 for large scale protein and flexibility analysis applications. 577-580 - Megha Nagabhushan, Rohithkumar Nagulapati, Mayanka Chandrashekar, Yugyung Lee:
Constructing dynamic ontologies from biomedical publications. 581-584 - Ronald J. Nowling, Scott J. Emrich:
Stable feature ranking with logistic regression ensembles. 585-589 - Yue Peng, Chi Tang, Gang Chen, Junyuan Xie, Chongjun Wang:
Multi-label learning by exploiting label correlations for TCM diagnosing Parkinson's disease. 590-594 - Jian Pu, Jun Wang, Yingbin Zheng, Hao Ye, Weiwei Shen, Yuxin Li, Hongyuan Zha:
Boosting Alzheimer diagnosis accuracy with the help of incomplete privileged information. 595-599 - Manan A. Shah, Dayong Wang, Christopher Rubadue, David Suster, Andrew H. Beck:
Deep learning assessment of tumor proliferation in breast cancer histological images. 600-603 - Xianjun Shen, Xianchao Zhu, Xingpeng Jiang, Tingting He, Xiaohua Hu:
Visualization of disease relationships by multiple maps t-SNE regularization based on Nesterov accelerated gradient. 604-607 - Gene Shuman, Zoran Duric, Lynn H. Gerber:
Classifying continuous hand grips and movements using myoelectric and accelerometer signals. 608-612 - Amirhossein Tavanaei, Nishanth Anandanadarajah, Anthony S. Maida, Rasiah Loganantharaj:
A deep learning model for predicting tumor suppressor genes and oncogenes from PDB structure. 613-617 - Fan Tong, Zheheng Luo, Dongsheng Zhao:
A deep network based integrated model for disease named entity recognition. 618-621 - Matthew Velazquez, Yugyung Lee:
QA diagnostics with visual recognition tracking for accurate trending of Alzheimer's disease. 622-625 - Yaxuan Wang, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Ling-Yun Dai:
Low-rank representation regularized by L2, 1-norm for identifying differentially expressed genes. 626-629 - Yongtian Wang, Liran Juan, Yan-Shuo Chu, Rongjie Wang, Tianyi Zang, Yadong Wang:
FNSemSim: An improved disease similarity method based on network fusion. 630-633