Accepted Papers

ID Regular Papers
B207 Wanli Qiao, Tatiana Maximova, Xiaowen Fang, Erion Plaku, and Amarda Shehu, Reconstructing and Mining Protein Energy Landscapes to Understand Disease
B217 Matin Kheirkhahan, Shikha Mehta, Madhurima Nath, Amal Wanigatunga, Duane Corbett, Todd Manini, and Sanjay Ranka, A Bag-of-Words Approach for Assessing Activities of Daily Living using Wrist Accelerometer Data
B223 Bin Wu, Jingshan Huang, Mohan Kasukurthi, Fangwan Huang, Jiang Bian, Keisuke Fukuo, Kazuhisa Suzuki, Gen Yoshino, and Tsutomu Kazumi, An integrative approach to investigate the association among high-sensitive C-reactive protein, body fat mass distribution, and other cardiometabolic risk factors in young healthy women
B226 Lishuang Li and Yuxin Jiang, Biomedical Named Entity Recognition Based on the Two Channels and Sentence-level Reading Control Conditioned LSTM-CRF
B236 Ruben Armananzas, Ensemble graphs to reveal post-transcriptional regulatory networks in Alzheimer's disease
B239 Wasim Al Assad, Max Topaz, John Tu, and Li Zhou, Novel application of machine learning to evaluate the adequacy of information in radiology orders
B243 Vineetha Menon, Shantia Yarahmadian, and Vahid Rezania, Superresolution and EM based ML Kalman Estimation of the Stochastic Microtubule Signal Modeled as Three States Random Evolution
B251 Liu Weijie, Huang Anpeng, and Wang Ping, BpMC: A Novel Algorithm Retrieving Multilayered Tissue Bio-optical Properties for Non-invasive Blood Glucose Measurement
B260 Jenny Jeong and Peng Qiu, The relative importance of data points in systems biology and parameter estimation
B266 Tian Bai, Ashis Chanda, Brian Egleston, and Slobodan Vucetic, Joint Learning of Representations of Medical Concepts and Words from EHR Data
B271 Ye Yuan, Guangxu Xun, Kebin Jia, and Aidong Zhang, A Novel Wavelet-based EEG Analysis for Epileptic Seizure Detection using Multi-context Learning
B273 Shuo Yang, Fabian Hadiji, Kristian Kersting, Shaun Grannis, and Sriraam Natarajan, Modeling Heart Procedures from EHRs: An Application of Exponential Families
B284 Dingcheng Li, Peini Liu, Ming Huang, Yu Gu, Yue Zhang, Xiaodi Li, Daniel Dean, Xiaoxi Liu, Jingmin Xu, Hui Lei, and Yaoping Ruan, Mapping Client Messages to a Unified Data Model with Mixture Feature Embedding Convolutional Neural Network
B293 Wen Zhang, Xiang Yue, Yanlin Chen, Weiran Lin, Bolin Li, Feng Liu, and Xiaohong Li, Predicting drug-disease associations based on the known association bipartite network
B296 Rosario Corona, Sanjana Sudarshan, Srinivas Aluru, and Jun-tao Guo, Confidence assessment of protein-DNA complex models
B309 Ankur Agrawal and Paul Revelo, Analysis of the Consistency in the Structural Modeling of SNOMED CT and CORE Problem List Concepts
B312 Mengmeng Wu, Wanwen Zeng, Wenqiang Liu, Yijia Zhang, Ting Chen, and Rui Jiang, Integrating embeddings of multiple gene networks to prioritize complex disease-associated genes
B313 Runmin Yang, Daming Zhu, Qiang Kou, Poornima Bhat-Nakshatri, Harikrishna Nakshatri, Si Wu, and Xiaowen Liu, A Spectrum Graph-Based Filtering Algorithm for Proteoform Identification by Top-Down Mass Spectrometry
B318 Jingpu Zhang, Shuai Zou, and Lei Deng, BiRWLGO: A global network-based strategy for lncRNA function annotation using bi-random walk
B322 Xuezhi Cao and Yong Yu, IMAP: An Iterative Method for Aligning Protein-Protein Interaction Networks
B324 Haohan Wang, Xiang Liu, Yunpeng Xiao, Ming Xu, and Eric Xing, Multiplex Confounding Factor Correction for Genomic Association Mapping with Squared Sparse Linear Mixed Model
B325 Haohan Wang, Bryon Aragam, and Eric Xing, Variable Selection in Heterogeneous Datasets: A Truncated-rank Sparse Linear Mixed Model with Applications to Genome-wide Association Studies
B326 Chunyang Ruan, Ye Wang, Yanchun Zhang, Jiangang Ma, Huijuan Chen, Uwe Aickelin, Shanfeng Zhu, and Ting Zhang, THCluster:Herb Supplements Categorization for Precision Traditional Chinese Medicine
B327 Wenhui Xing, Xiaohui Yuan, Lin Li, and Jing Peng, Cascade Word Embedding to Sentence Embedding: A Class Label Enhanced Approach to Phenotype Extraction
B328 Yan Wang, Jian Wang, Hongfei Lin, Shaowu Zhang, and Lishuang Li, Biomedical Event Trigger Detection Based on Bidirectional LSTM and CRF
B330 Bo Xu, Changlong Li, Hang Zhuang, Jiali Wang, Qingfeng Wang, Chao Wang, and Xuehai Zhou, Distributed Gene Clinical Decision Support System Based on Cloud Computing
B362 Haiying Wang, Huiru Jane Zheng, Richard J. Dewhurst, and Rainer Roehe, Microbial Co-presence and Mutual-exclusion Networks in the Bovine Rumen Microbiome
B364 Binbin Wu, Jianxin Wang, Junwei Luo, Min Li, Fang-Xiang Wu, and Yi Pan, MEC: Misassembly Error Correction in contigs using a combination of paired-end reads and GC-contents
B365 Xi Wu, Steve Roggenkamp, Shiqiang Tao, and Guo-Qiang Zhang, ImageSFERE: Image Sharing for Epilepsy Research
B368 Moumita Bhattacharya, Claudine Jurkovitz, and Hagit Shatkay, Assessing Chronic Kidney Disease from Office Visit Records Using Hierarchical Meta-Classification of an Imbalanced Dataset
B385 Xiangrui Li, Dongxiao Zhu, and Phillip Levy, Predictive Deep Network with Leveraging Clinical Measure as Auxiliary Task
B389 Bing Feng, William Hoskins, Yan Zhang, Zibo Meng, Yan Guo, and Jijun Tang, Down Syndrome Prediction/Screening Model Based on Deep Learning and Illumina Genotyping Array
B402 Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing, Andrew Ng, and Nigam Shah, Improving Palliative Care with Deep Learning
B403 Pei-Yuan Zhou, Antonio Sze-Tzo, and Andrew K.C. Wong, Discovery and Disentanglement of Protein Aligned Pattern Clusters to Reveal Subtle Functional Subgroups
B416 Yuanyuan Zhu, Yuezhi Li, Juan Liu, Lu Qin, and Jeffrey Xu Yu, GMAlign: a new network aligner for revealing large conserved functional components
B419 Bin Hu, Hong Peng, Jinlong Chao, Yongzong Wang, and Majoe Dennis, Single-trial classification of fNIRS signal measured from prefrontal cortex during four directions motor imagery task
B427 Feng Qian, Chengyue Gong, Luchen Liu, Lei Sha, and Ming Zhang, Topic Medical Concept Embedding: Multi-Sense Representation Learning For Medical Concept
B447 Wenjian Bi, Guolian Kang, and Stanley Pounds, Statistical Selection of Biological Models for Genome-Wide Association Analyses
B451 Wen Cao, Nicholas Czarnek, Juan Shan, and Lin Li, Microaneurysm Detection in Fundus Images by Small Image Patches and Machine Learning Methods
B453 Xueyuan Cao, E. Olusegun George, Mingjuan Wang, Dale Armstrong, Cheng Cheng, Susana Raimondi, Jeffrey Rubnitz, James Downing, Mondira Kundu, and Stanley Pounds, POST: a framework for set-based association analysis in high-dimensional data
B455 Xiaoyu Zhang, Xiangke Liao, Hao Zhu, and Shaoliang Peng, A Novel Algorithm for Detecting Co-evolutionary Domains in Protein and Nucleotide Sequences
B458 Anuradha Welivita, Indika Perera, and Dulani Meedeniya, GPU Accelarated Workflow Generation System to Support Bioinformatics Analyses
B467 Yujuan Feng, Xu Min, Ning Chen, Xiaolei Xie, Haibo Wang, and Ting Chen, Patient Outcome Prediction via Convolutional Neural Networks based on Multi-Granularity Medical Concept Embedding
B469 Fei He, Lingling Bao, Rui Wang, Jiagen Li, and Xiaowei Zhao, A Multimodal Deep Architecture for Large Scale Protein Ubiquitylation Site Prediction
B471 Ronghui You and Shanfeng Zhu, DeepText2Go: Improving Large-scale Protein Function Prediction with Deep Semantic Text Representation
B475 Ye Han and Fei He, Effective Small Interfering RNA Design based on Convolutional Neural Network
B476 Jialu Hu, Yan Zheng, and Xuequn Shang, MiteFinder: A fast approach to identify miniature inverted-repeat transposable elements in genome-wide scale
B484 Mingjie Qian, Jyotishman Pathak, Naveen L. Pereira, and Chengxiang Zhai, Temporal Reflected Logistic Regression for Probabilistic Heart Failure Survival Score Prediction
B490 Michael Youmans, Christian Spainhour, and Peng Qiu, Long Short-Term Memory Recurrent Neural Networks for Antibacterial Peptide Identification
B492 Fatima Zare, Sardar Ansari, Kayvan Najarian, and Sheida Nabavi, Noise Cancellation for Robust Copy Number Variation Detection Using Next Generation Sequencing Data
B504 John Sigmon and Leonard McMillan, Choosing optimal controls for genotyping arrays
B506 Zachary Stephens, Ravishankar Iyer, Chen Wang, and Jean-Pierre Kocher, Unraveling Complex Local Genomic Rearrangements From Long-Read Data
B508 Zeynep Hakguder, Chunxiao Liao, Jiang Shu, and Juan Cui, A New Statistical Model for Genome-Scale MicroRNA Target Prediction
B519 Tianyu Wang and Sheida Nabavi, Differential gene expression analysis in single-cell RNA sequencing data
B527 Michael Lash, Yuqi Sun, Xun Zhou, Charles Lynch, and Nick Street, Learning Rich Geographical Representations: Predicting Colorectal Cancer Survival in the State of Iowa
B528 Jin Lu, Jiangwen Sun, Xinyu Wang, and Jinbo Bi, Collaborative Phenotype Inference from Comorbid Substance Use Disorders and Genotypes
B531 Jesus Beltran, Longendri Aguilera-Mendoza, and Carlos Brizuela, Feature weighting for antimicrobial peptides classification: a multi-objective evolutionary approach
B535 Timothy Chappell, Shlomo Geva, James Hogan, Flavia Huygens, Wayne Kelly, and Dimitri Perrin, Signature-Based Clustering for Analysis of the Wound Microbiome
B536 Lingwei Xie, Song He, ZHONGNAN ZHANG, Xiaochen Bo, and Xinyu Song, Drug–target interaction prediction with a deep-learning-based model
B546 Antonio Sze-To and Andrew K.C. Wong, Pattern-Directed Aligned Pattern Clustering
B548 Jingyi Shi, Mingna Zheng, Lixia Yao, and Yaorong Ge, DIR - A Semantic Information Resource for Healthcare Datasets
B553 Qiuling Suo, Fenglong Ma, Ye Yuan, Mengdi Huai, Weida Zhong, and Aidong Zhang, Personalized Disease Prediction Using A CNN-Based Similarity Learning Method
B557 Xiaoyan Wang, Xingpeng Jiang, Mengwen Liu, Tingting He, and Xiaohua Hu, Bacteria Named Entity Recognition based on Dictionary and Conditional Random Field
B559 Shenglong Zhu, Scott Emrich, and Danny Chen, Inversion Detection Using PacBio Long Reads
B566 Quoc-Nam Tran and Mike Wallinga, UPS: A New Approach for Multiple Sequence Alignment Using Morphing Techniques
B567 Yaodong Du, Juan Shan, and Ming Zhang, Knee Osteoarthritis Prediction on MR Images Using Cartilage Damage Index and Machine Learning Methods
B579 Xiaofei Zhang, Yi Zhang, Erik Han, Nathan Jacobs, Qiong Han, Xiaoqin Wang, and Jinze Liu, Whole Mammogram Image Classification With Convolutional Neural Networks
B580 Tianle Ma and Aidong Zhang, Integrate Multi-omic Data Using Affinity Network Fusion (ANF) for Cancer Patient Clustering
B588 Terri Benskin, Iris Zachary, Magda Esebua, and Uzma Khan, Collaborations across disciplines: MU Thyroid Nodule Electronic Database (MU-TNED), a multidisciplinary informatics approach
B589 Yanhua Ran, Ben He, Kai Hui, and Jungang Xu, A Document-based Neural Relevance Model for Effective Clinical Decision Support
B595 Jun Tan and Donald Adjeroh, Structure-Based Protein Family Signature: Efficient Comparison of Multidomain Proteins
B601 Ryan Eshleman, Deeptanshu Jha, and Rahul Singh, Identifying Individuals Amenable to Drug Recovery Interventions through Computational Analysis of Addiction Content in Social Media
B603 Tanjin Taher Toma and Donald Adjeroh, What Can One Chromosome Tell us About Human Biogeographical Ancestry?
B605 Xiangzhen Xu, Lizhen Cui, Hui Li, Lei Liu, and Yongqing zheng, Predicting Hospital Readmission From Longitudinal Healthcare Data Using Graph Pattern Mining Based Temporal phenotypes.
B606 Jiabing Fu and Shoubin Dong, ALL-CQS: Adaptive Locality-based Lossy Compresion of Quality Scores
B609 Jean Gao, LiDiAimc: LincRNA-Disease Associations through Inductive Matrix Completion
B611 Natasha Pavlovikj, Etsuko Moriyama, and Jitender Deogun, Comparative Analysis of Alignment Tools for Nanopore Reads
B612 Dan Li, William Yang, Yifan Zhang, Weida Tong, Renchu Guan, and Mary Qu Yang, Genetic Analyses of Pulmonary Adenocarcinoma in situ Reveal New Insights into Lung Cancer Progression
B613 Hsin-Chun Lee and Hung-Yu Kao, CDRnN: a high performance Chemical-Disease Recognizer in biomedical literature
B614 Yifan Zhang, William Yang, Dan Li, Renchu Guan, Weida Tong, and Mary Qu Yang, Toward the Precision Breast Cancer Survival Prediction Utilizing Combined Whole Genome-wide Expression and Somatic Mutation Analysis


ID Short Papers
B205 Yulian Jiao, Xinchun Lin, Yan Zhu, Xuan Li, Longfei Zhu, Tengfei Ma, Haiyong Zeng, and Qiaolu Zang, Transcriptomic Analysis of Flower Development in the bamboo Phyllostachys violascens (Poaceae: Bambusoideae)
B208 Peng Zhao and Illhoi Yoo, A Self-adaptive 30-day Diabetic Readmission Prediction Model based on Incremental Learning
B214 Ling Zheng, Hua Min, Yehoshua Perl, and James Geller, Discovering Additional Complex NCIt Gene Concepts with High Error Rate
B216 Zhiping XU, Xiang LIU, Xi En CHENG, Jia Lin SONG, and Jian Quan ZHANG, Diagnosis of Cirrhosis Stage via Deep Neural Network
B219 Diyue Bu and Xuefu Wang, Causal Effect Study of High Cholesterol on Myopia
B232 Nolan Donoghue, Justin Gardin, Bruce Futcher, and Steven Skiena, Optimal Codon Pair Bias Design
B240 Ron Ayoub and Yugyung Lee, RUPEE: Scalable Protein Structure Search using Run Position Encoded Residue Descriptors
B242 Ryan Ehrlich and Dario Ghersi, Analyzing T Cell Receptor Alpha/Beta Usage in Binding to the pMHC
B244 Yongxiang Wang, Xijun Liang, Zhonghang Xia, Xinnan Niu, Andrew J. Link, and Haiqing Yin, Improved Classification Model for Peptide Identification Based on Self-paced Learning
B245 Li Chen, Yanjun Xie, Jie Sun, Niranjan Balu, Mahmud Mossa-Basha, Kristi Pimentel, Thomas Hatsukami, Jenq-Neng Hwang, and Chun Yuan, 3D intracranial artery segmentation using a convolutional autoencoder
B252 Fan Tong, Zheheng Luo, and Dongsheng Zhao, A deep network based integrated model for disease named entity recognition
B261 Lan Luo, Hongxia Gao, Yinghao Luo, and Yongfei Chen, A Stochastic Iterative Evolution CT Reconstruction Algorithm for Limited-Angle Sparse Projection Data
B267 Xinlei Li, Tong Yang, Wenqiang Zhang, Yangyang Hu, and Menglong Xu, Automatic Tongue Image Matting for Remote Medical Diagnosis
B268 Ya-Xuan Wang, Ying-Lian Gao, Jin-Xing Liu, and Chun-Hou Zheng, Identifying Differentially Expressed Genes via Truncated Nuclear Norm Low-rank Representation by L2,1-norm Regularization
B272 Chen Fang, Chunfei Li, Mercedes Cabrerizo, Armando Barreto, Jean Andrian, Naphtali Rishe, David Loewenstein, Ranjan Duara, and Malek Adjouadi, A Gaussian Discriminant Analysis-based Generative Learning Algorithm for the Early Diagnosis of Mild Cognitive Impairment in Alzheimer’s Disease
B279 Chunyu Zhao, Yizhou Zang, Wei Quan, Xiaohua Hu, and Ahmet Sacan, HIV-1, Human Protein-protein Interaction Prediction Based on Interface Architecture Similarity
B281 Kenneth Lai, Suzanne Blackley, and Li Zhou, Using Mutual Information Clustering to Discover Food Allergen Cross-Reactivity
B283 Gene Shuman, Zoran Duric, and Lynn H. Gerber, Classifying Continuous Hand Grips and Movements Using Myoelectric and Accelerometer Signals
B289 Lishuang Li and Yang Liu, Exploiting Argument Information to Improve Biomedical Event Trigger Identification via Recurrent Neural Networks and Supervised Attention Mechanisms
B299 Wei Guo, Xuan Yang, and Adan Lin, Left Ventricle Motion Estimation for Cardiac Cine MRI Using Graph Matching
B300 Roberta Bardini, Gianfranco Politano, Alfredo Benso, and Stefano Di Carlo, Using Multi-level Petri Nets Models to Simulate Microbiota Resistance to Antibiotics
B305 Yongtian Wang, Liran Juan, Yanshuo Chu, Rongjie Wang, Tianyi Zang, and Yadong Wang, FNSemSim: an improved disease similarity method based on network fusion
B308 Chunlei Tang, Haohan Zhang, Kenneth Lai, Yuxuan She, Yun Xiong, and Li Zhou, Developing a Regional Classifier to Track Patient Needs in Medical Literature Using Spiral Timelines on a Geographical Map
B315 Wen Zhang, Jingwen Shi, Guifeng Tang, Bolin Li, Weiran Lin, Xiang Yue, Yanlin Chen, and Dingfang Li, Predicting small RNAs in bacteria via sequence learning ensemble method
B316 Liangliang Liu, Jianxin Wang, Min Li, Fang-Xiang Wu, HongDong Li, Ying Yu, and Zhihui Fei, An Interpretable Model for Predicting Side Effects of Analgesics for Osteoarthritis
B321 Chirag Patel, Siva Kumar Prasanth Kumar, Krunal Modi, Daxesh Patel, Frank Gonzalez, and Himanshu Pandya, Retrieval of Promiscuous Natural Compounds using Multiple Targets Docking Strategy: A Case Study on Kinase Polypharmacology
B333 Yingying Jiao and Bao-Liang Lu, Detecting Driver Sleepiness from EEG Alpha Wave during Daytime Simulated Driving
B334 Chu Yanshuo, Teng Mingxiang, Wang Zhenxing, Wang Yongtian, and Yadong Wang, Pre-SCNAClonal: efficient GC bias correction for SCNA based tumor subclonal populations inferring
B336 Xiaowei Zhang, Yuan Yao, Manman Wang, Jian Shen, Lei Feng, and Bin Hu, Normalized Mutual Information Feature Selection for Electroencephalogram Data based on Grassberger Entropy Estimator
B342 Shuhao Sun, Fima Klebaner, and Tianhai Tian, New model of pancreatic cancer progression using non-constant gene mutation rate
B355 Ronald Nowling and Scott Emrich, Stable Feature Ranking with Logistic Regression Ensembles
B357 Zewen Li, Adan Lin, Xuan Yang, and Junhao Wu, Left Ventricle Segmentation by Combining Convolution Neural Network with Active Contour Model and Tensor Voting in Short-axis MRI
B359 Rongjie Wang, Bai Yang, Qianlong Cheng, Tianyi Zang, and Yadong Wang, A bucket index correction based method for compression of genomic sequencing data
B363 Siqi Liu, Adam Wright, Dean Sittig, and Milos Hauskrecht, Change-Point Detection for Monitoring Clinical Decision Support Systems with a Multi-Process Dynamic Linear Model
B374 Ryan Mattfeld, Elliot Jesch, and Adam Hoover, A New Dataset for Evaluating Pedometer Performance
B383 Zhenchao Jiang, Liang Gu, and Qingshan Jiang, Drug Drug Interaction Extraction from literature Using a Skeleton Long Short Term Memory Neural Network
B392 Omar Ibrahim, James Keller, and Mihail Popescu, Context Preserving Representation of Daily Activities in Elder Care
B400 Jaired Collins, Joseph Warren, Menxuan Ma, Rachel Proffitt, and Marjorie Skubic, Stroke Patient Daily Activity Observation System
B401 Xianjun Shen, Xianchao Zhu, Xingpeng Jiang, Tingting He, and Xiaohua Hu, Visualization of Disease Relationships by Multiple Maps t-SNE Regularization Based on Nesterov Accelerated Gradient
B408 Zhijun Yao, Bin Hu, Tao Hu, Jianping An, Dawei Song, and Ning Zhong, APOE4 Modulates the Activities Within Defalut Mode Network and Interactions of Resting Intrinsic Networks
B414 Chenfei Sun, Qingzhong Li, Lizhen Cui, and Hui Li, Community Detection based Chronic Disease Progression Mining
B417 Yue PENG, Chi TANG, Gang CHEN, Junyuan XIE, and Chongjun WANG, Multi-Label learning by exploiting label correlations for TCM Diagnosing Parkinson’s Disease
B425 Jingying Huang, Yuwen Zhou, Aodan Xu, Enhong Zhuo, Xin Jin, and hongmin cai, A copy-number variation detection pipeline for single cell sequencing data on BGI Online
B439 Junqiang Wang, Yun Xiao, Zixiang Wang, Weihua Zhan, and Lei Deng, Combining diffusion and HeteSim features across the global heterogeneous network for accurate prediction of protein-lncRNA interactions
B446 Yueli Dong, A Hadoop-based Molecular Docking System
B459 Nandini Ramanan, Shuo Yang, Shaun Grannis, and Sriraam Natarajan, Discriminative Boosted Bayes Networks for Learning Multiple Cardiovascular Procedures
B477 Eva Lee and Andriy Andriy Shapoval, Optimizing Inpatient Bed Capacity to Improve Care Delivery
B478 João Almeida, Joana Ferreira, Rui Camacho, and Luísa Pereira, Co-expression networks between protein encoding mitochondrial genes and all the remaining genes in human tissues
B481 Tayo Obafemi-Ajayi, Luke Settles, Yuqing Su, Gayla Olbricht, Cynthia Germeroth, T. Nicole Takahashi, Judith Miles, and Donald Wunsch, Genetic Variant Analysis of Boys with Autism: a Pilot Study on Linking Facial Phenotype to Genotype
B483 Rahul Metri, Shikhar Saxena, Madhulika Mishra, and Nagasuma Chandra, Modeling metabolic rewiring during melanoma progression using Flux Balance Analysis
B488 Sean West and Hesham Ali, Granularity-Aware Fusion of Biological Networks for Information Extraction
B495 Yiyu Zheng, Xiaoman Li, and Haiyan Hu, Discover the Semantic Structure of Human Reference Epigenome by Differential Latent Dirichlet Allocation
B501 Rahul Nihalani, Sriram Chockalingam, Shaowei Zhu, Vijay Vazirani, and Srinivas Aluru, Probabilistic Estimation of Overlap Graphs for Large Sequence Datasets
B502 Xingyu Cai, Abdullah-Al Mamun, and Sanguthevar Rajasekaran, Novel Algorithms for Finding the Closest l-mers in Biological Data
B520 cheikhou Oumar KA, Jean-Marie Dembélé, Christophe Cambier, Serge Stinckwich, Moussa Lo, and Jean-Daniel Zucker, Deterministic Convection-Diffusion Approach for modeling Cell Motion and Spatial Organization: experimentation on avascular tumor growth
B521 Lu Zhang, Qiuping Pan, and Xintao Wu, Modeling SNP and Quantitative Trait Association from GWAS Catalog Using CLG Bayesian Network
B529 Sairam Behera, Jitender S Deogun, Xianjun Lai, and James C Schnable, DiCE: Discovery of Conserved Noncoding Sequences Efficiently
B530 Dennis Bergau, Cong Liu, and Hui LU, Prediction of Human QT Prolongation Liability Based on Pre-Clinical RNA Expression Profiles
B533 Nauman Ahmed, Hamid Mushtaq, Koen Bertels, and Zaid Al-Ars, GASAL: A GPU Accelerated Sequence Alignment Library for High-throughput NGS Data
B538 Amirhossein Tavanaei, Nishanth Anandanadarajah, and Rasiah Loganantharaj, A Deep Learning Model for Predicting Tumor Suppressor Genes and Oncogenes from PDB Structure
B545 Nicholas Matiasz, Justin Wood, Wei Wang, Alcino Silva, and William Hsu, Translating Literature into Causal Graphs: Toward Automated Experiment Selection
B547 Muneera Alsaedi, Thomas Fevens, Adam Krzyzak, and Lukasz Jelen, Cytological Malignancy Grading Systems for Fine Needle Aspiration Biopsies of Breast Cancer
B550 Fangyan Ye, Jian Pu, Jun Wang, Yuxin Li, and Hongyuan Zha, Glioma Grading Based on 3D Multimodal Convolutional Neural Network and Privileged Learning
B551 Magdalena Metlicka, Mojtaba Nouri Bygi, and Ileana Streinu, Repairing gaps in Kinari-2 for large scale protein and flexibility analysis applications
B552 Jian Pu, Jun Wang, Yingbin Zheng, Hao Ye, Yuxin Li, and Hongyuan Zha, Boosting Alzheimer Diagnosis Accuracy with the Help of Incomplete Privilege Information
B558 Matthew Velazquez and Yugyung Lee, QA Diagnostics with Visual Recognition Tracking for Accurate Trending of Alzheimer’s Disease
B560 Jeffrey Wood and Joseph Finkelstein, Telerehabilitation System to Support Multipronged Exercise in Patients with Multiple Sclerosis
B562 Yasser El-Manzalawy, Orfeu Buxton, and Vasant Honavar, Sleep/wake state prediction and sleep parameter estimation using unsupervised classification via clustering
B570 Yan Zhang, Bo Zhang, W. Jim Zheng, Jijun Tang, and Feng Yue, HiCComp: Multiple-level Comparative Analysis of Hi-C Data by Triplet Network
B571 David Cirella and Huanying Gu, Generating Abstraction Networks using Semantic Similarity Measure of Ontology Concepts
B583 Jia Yao, Chongyu Zhou, and Mehul Motani, Spatio-Temporal Autoencoder for Feature Learning in Patient Data with Missing Observations
B587 Megha Nagabhushan, Rohithkumar Nagulapati, Mayanka Chandrashekar, and Yugyung Lee, Dynamic Ontology Generation for Question Answering in Biomedical Research
B591 Nhat Tran, Vinay Abhyankar, Kytai Nguyen, Ishfaq Ahmad, Jon Weidanz, and Jean Gao, MicroRNA Dysregulational Synergistic Network: Learning Context-Specific miRNA Dysregulations in Lung Cancer Subtypes
B610 William Baskett, Matt Spencer, and Chi-Ren Shyu, Efficient GPU-Accelerated Extraction of Imperfect Inverted Repeats from DNA Sequences
B617 Subrata Acharya and Omotayo Imani, A Novel Resource Management Approach for Paramedic Triage Systems
B619 Seungyoon Nam, Sungyoung Lee, Jinhyuk Lee, Sungjin Park, Seok Jong Yu, Yon Hui Kim, and Taesung Park, PATHOME-Drug: a tool for compound sugges-tion associated with networks
B620 Chen Fang, Panuwat Janwattanapong, Harold Martin, and Malek Adjouadi, Computerized Neuropsychological Assessment in Mild Cognitive Impairment Based on Natural Language Processing-oriented Feature Extraction
B624 Wu Huang, Cost-effective assembly and phasing of heterozygous potato genome
B625 William Yang, Sherman Weissman, Renchu Guan, Jialing Zhang, Allon Canaan, and Mary Qu Yang, Invited Talk: Developing Deep Multi-source Intelligent Learning That Facilitates the Advancement of Single Cell Genomics Research


ID Industry Track
N201 Tolgahan Cakaloglu, Medi-Deep: Deep Control in a Medication Usage
N202 Zhaohui Xu, Pooja Yadav, Zhizhou Zhang, Sankardas Roy, and Huimin Zhang, Quantification of Microbial Species in Solid State Fermentation Samples Using Signature Genomic Sequences
N203 Rengarajan Pelapur, V. B. Surya Prasath, Juan Moreno, and Michael Heck, 3D Workflow for Segmentation and Interactive Visualization in Brain MR images using Multiphase Active Contours
N204 Bingbing Liang, Wenyu Fan, Jing "Ginger" Han, Ning Chen, and Nan Zhao, An implementation of infants' gut microbiome maturation analyses by 16s rRNA from stool samples in extraction solution of room temperature
N205 Chongsheng Zhang, Jingjun Bi, and Paolo Soda, Feature Selection and Resampling in Class Imbalance Learning: Which Comes First? An Empirical Study in the Biological Domain
N206 Qiuping Pan, Lu Zhang, and Xintao Wu, STIP: An SNP-Trait Inference Platform
N207 Shantanu Dev, Shinan Zhang, Joseph Voyles, and Anand Rao, Automated Classification of Adverse Events in Pharmacovigilance