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ORCID9th BCB 2018: Washington, DC, USA
- Amarda Shehu, Cathy H. Wu, Christina Boucher, Jing Li, Hongfang Liu, Mihai Pop:
Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2018, Washington, DC, USA, August 29 - September 01, 2018. ACM 2018
Session 1: Network Analysis
- Hansaim Lim, Lei Xie:
Target Gene Prediction of Transcription Factor Using a New Neighborhood-regularized Tri-factorization One-class Collaborative Filtering Algorithm. 1-10 - Soumya Paul, Cui Su, Jun Pang, Andrzej Mizera:
A Decomposition-based Approach towards the Control of Boolean Networks. 11-20 - Kevin Chow, Ahmet Ay, Rasha Elhesha, Tamer Kahveci:
ANCA: Alignment-based Network Construction Algorithm. 21-26
Session 2: Sequence Analysis I
- Hirak Sarkar
, Mohsen Zakeri, Laraib Malik, Rob Patro:
Towards Selective-Alignment: Bridging the Accuracy Gap between Alignment-Based and Alignment-Free Transcript Quantification. 27-36 - Daniel Olson, Travis J. Wheeler:
ULTRA: A Model Based Tool to Detect Tandem Repeats. 37-46 - Zachary D. Stephens, Ravishankar K. Iyer:
Measuring the Mappability Spectrum of Reference Genome Assemblies. 47-52
Session 3: Genetics and Evolution
- Aditya Pratapa, Amogh P. Jalihal, S. S. Ravi, T. M. Murali:
Efficient Synthesis of Mutants Using Genetic Crosses. 53-62 - Kiya Govek, Camden Sikes, Layla Oesper:
A Consensus Approach to Infer Tumor Evolutionary Histories. 63-72 - Ye Chen, Ryan D. Calvert, Ariful Azad, Bartek Rajwa, James Fleet, Timothy Ratliff, Alex Pothen:
Phenotyping Immune Cells in Tumor and Healthy Tissue Using Flow Cytometry Data. 73-78
Session 4: Gene Expression Analysis
- Christopher Michael Pietras, Faith Ocitti, Donna K. Slonim:
TEMPO: Detecting Pathway-Specific Temporal Dysregulation of Gene Expression in Disease. 79-88 - Boyu Lyu, Anamul Haque:
Deep Learning Based Tumor Type Classification Using Gene Expression Data. 89-96 - Matthew Dyer, Julian Dymacek:
A Distributed Constrained Non-negative Matrix Factorization Algorithm for Time-Series Gene Expression Data. 97-102
Session 5: Medical Informatics I
- Chaochao Yan, Jiawen Yao, Ruoyu Li, Zheng Xu, Junzhou Huang:
Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays. 103-110 - Hyun-Soo Choi, Siwon Kim, Jung Eun Oh, Jee Eun Yoon, Jung Ah Park, Chang-Ho Yun, Sungroh Yoon:
XGBoost-Based Instantaneous Drowsiness Detection Framework Using Multitaper Spectral Information of Electroencephalography. 111-121
Session 6: Sequence Analysis II
- Clerk Nuo Xu, Changjiang Zhang, Leng Leng Lim, Aloysius Wong:
Bioinformatic Analysis of Nucleotide Cyclase Functional Centers and Development of ACPred Webserver. 122-129 - Tianyu Wang, Sheida Nabavi:
Single-cell Clustering Based on Word Embedding and Nonparametric Methods. 130-138 - Tanner D. Jensen, Kristi A. Bresciano, Emma Dallon, M. Stanley Fujimoto, Cole A. Lyman, Enoch Stewart, Joel Griffitts, Mark J. Clement:
The PepSeq Pipeline: Software for Antimicrobial Motif Discovery in Randomly-Generated Peptide Libraries. 139-144
Session 7: Phenotypes and Diseases
- Mohammad Arifur Rahman, Huzefa Rangwala:
RegMIL: Phenotype Classification from Metagenomic Data. 145-154 - Methun Kamruzzaman, Ananth Kalyanaraman, Bala Krishnamoorthy:
Detecting Divergent Subpopulations in Phenomics Data using Interesting Flares. 155-164 - Alexander S. Maher, Kenneth A. Rostowsky, Nahian F. Chowdhury, Andrei Irimia:
Neuroinformatics and Analysis of Connectomic Alterations Due to Cerebral Microhemorrhages in Geriatric Mild Neurotrauma: Microhemorrhages in Geriatric Neurotrauma. 165-171 - Mostafa M. Abbas, Thanh Le, Halima Bensmail, Vasant G. Honavar, Yasser El-Manzalawy:
Microbiomarkers Discovery in Inflammatory Bowel Diseases using Network-Based Feature Selection. 172-177
Session 8: Medical Informatics II
- Ryan A. Hoffman, Janani Venugopalan, Li Qu, Hang Wu, May D. Wang:
Improving Validity of Cause of Death on Death Certificates. 178-183 - Sendong Zhao, Meng Jiang, Ming Liu, Bing Qin, Ting Liu:
CausalTriad: Toward Pseudo Causal Relation Discovery and Hypotheses Generation from Medical Text Data. 184-193 - Aaron N. Richter, Taghi M. Khoshgoftaar:
Melanoma Risk Prediction with Structured Electronic Health Records. 194-199
Session 9: Protein Analysis
- Alex S. Nord, Peter V. Hornbeck, Kaitlin Carey, Travis J. Wheeler:
Splice-Aware Multiple Sequence Alignment of Protein Isoforms. 200-210 - Sarah Gunderson, Filip Jagodzinski:
Ensemble Voting Schemes that Improve Machine Learning Models for Predicting the Effects of Protein Mutations. 211-219 - Paul Morris, Yahchayil DaSilva, Evan Clark, William Edward Hahn, Elan Barenholtz:
Convolutional Neural Networks for Predicting Molecular Binding Affinity to HIV-1 Proteins. 220-225
Session 10: Deep Learning and Applications
- Xuhui Chen, Jinlong Ji, Tianxi Ji, Pan Li:
Cost-Sensitive Deep Active Learning for Epileptic Seizure Detection. 226-235 - Naveen Ashish, Mi-Youn K. Brusniak:
Automated Mouse Organ Segmentation: A Deep Learning Based Solution. 236-243 - Shayan Shams, Richard Platania, Joohyun Kim, Jian Zhang, Kisung Lee, Seungwon Yang, Seung-Jong Park:
A Distributed Semi-Supervised Platform for DNase-Seq Data Analytics using Deep Generative Convolutional Networks. 244-253 - Mohammad Ruhul Amin, Alisa Yurovsky, Yingtao Tian, Steven Skiena:
DeepAnnotator: Genome Annotation with Deep Learning. 254-259
Session 11: Genome Rearrangements and Genetic Variation
- Letu Qingge, Xiaozhou He, Zhihui Liu, Binhai Zhu:
On the Minimum Copy Number Generation Problem in Cancer Genomics. 260-269 - Ronald J. Nowling, Scott J. Emrich:
Detecting Chromosomal Inversions from Dense SNPs by Combining PCA and Association Tests. 270-276 - Suzan Arslanturk, Sorin Draghici:
Disease Subtyping using Somatic Variant Data. 277-282
Session 12: Medical Informatics III
- Kyle Haas, Malika Mahoui, Simone Gupta, Stuart Morton:
Leveraging Treatment Patterns to Predict Survival of Patients with Advanced Non-Small-Cell Lung Cancer. 283-290 - Xuan Wang, Yu Zhang, Qi Li, Yinyin Chen, Jiawei Han:
Open Information Extraction with Meta-pattern Discovery in Biomedical Literature. 291-300 - Murtaza Dhuliawala, Nicholas Fay, Daniel M. Gruen, Amar K. Das:
What Happens When?: Interpreting Schedule of Activity Tables in Clinical Trial Documents. 301-306
Session 13: Protein Structure and Molecular Dynamics
- Rahul Alapati, Debswapna Bhattacharya:
clustQ: Efficient Protein Decoy Clustering Using Superposition-free Weighted Internal Distance Comparisons. 307-314 - Trilce Estrada, Jeremy Benson, Hector Carrillo-Cabada, Asghar M. Razavi, Michel A. Cuendet, Harel Weinstein, Ewa Deelman, Michela Taufer:
Graphic Encoding of Macromolecules for Efficient High-Throughput Analysis. 315-324 - Ivan Syzonenko, Joshua L. Phillips:
Hybrid Spectral/Subspace Clustering of Molecular Dynamics Simulations. 325-330
Session 14: Biomarker and Cancer
- Ali Foroughi Pour, Lori A. Dalton:
Biomarker Discovery via Optimal Bayesian Feature Filtering for Structured Multiclass Data. 331-340 - Christopher Ma, Tina Gui, Xin Dang, Yixin Chen, Dawn Wilkins:
Integration of Cancer Data through Multiple Mixed Graphical Model. 341-350 - Yi Zhang, Xiaofei Zhang, Andrew N. Lane, Teresa W.-M. Fan, Jinze Liu:
TFmeta: A Machine Learning Approach to Uncover Transcription Factors Governing Metabolic Reprogramming. 351-359 - Brian Marks, Nina Hees, Hung Nguyen, Tin Nguyen:
MIA: Multi-cohort Integrated Analysis for Biomarker Identification. 360-365
Session 15: Phylogenetics
- Pawel Tabaszewski, Pawel Górecki, Oliver Eulenstein:
Phylogenetic Consensus for Exact Median Trees. 366-375 - Peng Du, Luay Nakhleh:
Species Tree and Reconciliation Estimation under a Duplication-Loss-Coalescence Model. 376-385 - Lei Li, Mukul S. Bansal:
An Integer Linear Programming Solution for the Domain-Gene-Species Reconciliation Problem. 386-397 - Ehdieh Khaledian, Assefaw H. Gebremedhin, Kelly A. Brayton, Shira L. Broschat:
A Network Science Approach for Determining the Ancestral Phylum of Bacteria. 398-403
Session 16: Drug Discovery and Docking
- Xiaoyu Zhang, Sheng Wang, Feiyun Zhu, Zheng Xu, Yuhong Wang, Junzhou Huang:
Seq3seq Fingerprint: Towards End-to-end Semi-supervised Deep Drug Discovery. 404-413 - Gongbo Zhang, Debarati Roychowdhury, Pengyuan Li, Heng-Yi Wu, Shijun Zhang, Lang Li, Hagit Shatkay:
Identifying Experimental Evidence in Biomedical Abstracts Relevant to Drug-Drug Interactions. 414-418 - Hafez Eslami Manoochehri, Susmitha Sri Kadiyala, Javad Birjandtalab, Mehrdad Nourani:
Feature Selection to Predict Compound's Effect on Aging. 419-427
Session 17: Algorithms
- Daniel R. Allen, Sharma V. Thankachan, Bojian Xu:
A Practical and Efficient Algorithm for the k-mismatch Shortest Unique Substring Finding Problem. 428-437 - Sairam Behera, Sutanu Gayen, Jitender S. Deogun, N. V. Vinodchandran:
KmerEstimate: A Streaming Algorithm for Estimating k-mer Counts with Optimal Space Usage. 438-447 - Srilakshmi Pattabiraman, Tandy J. Warnow:
Are Profile Hidden Markov Models Identifiable? 448-456 - Ilya Zhbannikov, Konstantin G. Arbeev, Anatoliy I. Yashin:
Applying Stochastic Process Model to Imputation of Censored Longitudinal Data. 457-464
Session 18: mHealth
- Yuan Gong, Hasini Yatawatte, Christian Poellabauer, Sandra L. Schneider, Susan Latham:
Automatic Autism Spectrum Disorder Detection Using Everyday Vocalizations Captured by Smart Devices. 465-473 - David Chen, Steve Rust, En-Ju D. Lin, Simon M. Lin, Leslie Nelson, Lindsay Alfano, Linda P. Lowes:
Prediction of Clinical Outcomes of Spinal Muscular Atrophy Using Motion Tracking Data and Elastic Net Regression. 474-481 - Feiyun Zhu, Peng Liao, Xinliang Zhu, Jiawen Yao, Junzhou Huang:
Cohesion-driven Online Actor-Critic Reinforcement Learning for mHealth Intervention. 482-491 - Feiyun Zhu, Jun Guo, Ruoyu Li, Junzhou Huang:
Robust Actor-Critic Contextual Bandit for Mobile Health (mHealth) Interventions. 492-501
Poster Session
- Daniela Silvia Perry, Jeremy Gunawardena, Nicolas M. Orsi:
Identification of Non-invasive Cytokine Biomarkers for Polycystic Ovary Syndrome Using Supervised Machine Learning. 502 - Qi Zheng, Jacquelyn Meisel, Casey Bartow-McKenney, Elizabeth A. Grice:
HmmUFOtu: An HMM and Phylogenetic Placement based Ultra-fast Taxonomic Assignment and OTU Picking Tool for Microbiome Amplicon Sequencing Studies. 503 - Talip Zengin, Tugba Onal Suzek:
TCGA Lung Cancer Analysis Pipeline. 504 - Ishika C. Desai, William Miller, Vamsi K. Kodali, Girija Syamlal, Jenny R. Roberts, Aaron D. Erdely, Naveena Yanamala:
Classification of Carbonaceous Nanomaterials based on Patterns of Inflammatory Markers in BAL Fluid and Pathological Outcomes in Lungs. 505 - Ziling Fan, Luca Soldaini, Arman Cohan, Nazli Goharian:
Relation Extraction for Protein-protein Interactions Affected by Mutations. 506-507 - Sharmila Roychoudhury, Amarda Shehu:
Analysis of Molecular Structure Data]{Systematic Study of Different Design Decisions in Markov Model-based Analysis of Molecular Structure Data: Extended Abstract. 508-509 - Alisha Kamat, Ting Jin, So Yeon Min, Flaminia Talos, Jonas S. Almeida, Daifeng Wang:
Interpretable Machine Learning Approach Reveals Developmental Gene Expression Biomarkers for Cancer Patient Outcomes at Early Stages. 510 - Weizhong Zhu, Tarrah Kirkpatrick, Josephina Lin, Susan Hmwe:
Expert and Student User Evaluation of Semantic Protocol Search. 511-512 - Austin Gu, Casey Overby Taylor:
Differences in Engagement Among BabyCenter.com Community Forum Contributors: A Pilot Study. 513 - Nam D. Nguyen, Ian Blaby, Daifeng Wang:
A Manifold Learning Based Approach to Reveal the Functional Linkages across Multiple Gene Networks. 514 - Huijun Wang, An Chi, Xudong Qiao:
Understand Compound Mechanism of Action at a System Biology Scale through Chemical Biology Data Management and Analysis. 515 - Huijun Wang, Francisco Garcia, An Chi, Ivan Cornella Taracido, Anne Mai Wasssermann, Andy Liaw:
Profiling Diverse Chemical Space to Map the Druggable Proteome. 516 - Giuseppe Agapito, Mario Cannataro:
Services4SNPs: A RESTful Platform for Association Rule Mining and Survival Analysis of Genotyping Data. 517 - Salvador Eugenio C. Caoili:
Interpreting Negative Data on Antipeptide Paratope Binding to Support Development of B-Cell Epitope Prediction for Vaccine Design and Other Translational Applications. 518 - Erdem Turk, Turkan Arit, Delikanli Mertcan Susus, Ilayda Ucar, Baris E. Suzek:
ProSetComp: A Platform for Protein Set Comparisons. 519 - Ting He, Casey Overby Taylor:
Identifying Symptom Clusters in Women Experiencing Preterm Birth. 520 - Haruka Motohashi, Tatsuro Teraoka, Shin Aoki, Hayato Ohwada:
Ranking Methods of Candidates for p53 Inhibitors Considering Cytotoxicity Using Machine Learning. 521 - Min-Wei Hsieh, Hayato Ohwada, Sheng-I Chen:
Practical Feature Selection for Lung Cancer Gene Detection. 522 - Yuan Gong, Kevin Shin, Christian Poellabauer:
Improving LIWC Using Soft Word Matching. 523 - Xu Zhang, Karen E. Ross, Tapan K. Maity, Jake Jaffe, Cathy H. Wu, Udayan Guha:
PTM Knowledge Networks and LINCS Multi-Omics Data for Kinase Inhibitor Drug-Analytics in Lung Cancer. 524 - Weizhong Zhu, Jennifer Berano Teh, Haiqing Li, Saro H. Armenian:
Knowledge Extraction of Long-Term Complications from Clinical Narratives of Blood Cancer Patients with HCT Treatments. 525-526 - Wei Du, Kristin Dickinson, Calvin A. Johnson, Leorey N. Saligan:
Identifying Genes to Predict Cancer Radiotherapy-Related Fatigue with Machine-Learning Methods. 527 - Gabriel Wright, Anabel Rodriguez, Patricia L. Clark, Scott J. Emrich:
HarMinMax: Harmonizing Codon Usage to Replicate Local Host Translation. 528 - Carla J. Gallagher:
Use of the Informatics for Integrating Biology and the Bedside (i2b2) Population to Test Serum Bilirubin Levels and Risk for Inflammatory Bowl Diseases and the Involvement of Uridine Glucuronosyltransferase Genes. 529 - Saleh Tamim, Blake Meyers:
Using a Network Approach to Identify Genes Important during Anther Development. 530 - Qingyu Chen, Sun Kim, W. John Wilbur, Zhiyong Lu:
Sentence Similarity Measures Revisited: Ranking Sentences in PubMed Documents. 531-532 - Daniel Veltri, Zhiwen Li, Sandhya Xirasagar, Andrew J. Oler, Xi Cheng, Ke Huang, Jason Barnett, Lingwen Zhang, Octavio Juarez Espinosa, Yongjie Fan, Morgan Similuk, Magdalena Walkiewicz, Celine Hong, Joyce Johnson, Joshua D. Milner:
Balancing Confidentiality and Sharing of Genomic and Phenotypic Data in a Clinical Research System. 533 - Hadi Zarkoob, Prasanna Desikan, Prakash Menon, Harshna Kapashi, Hossein Fakhrai-Rad, Barrie Bradley:
Early Prediction of Risk Adjustment Factor (RAF) for Medicare Advantage (MA) and Evaluation of its Benefits. 534 - Madeline P. Griffin, Catherine E. Welsh:
Comparative Analysis of Tools for Predicting the Functional Impact of mtDNA Variants. 535 - Sandra Andorf, Monali Manohar, R. Sharon Chinthrajah, Sheena Gupta, Holden T. Maecker, Stephen J. Galli, Kari C. Nadeau:
Determination of Immunophenotypic Changes by CyTOF, Epigenetics and Component Resolved Diagnostics During Successful Desensitization in Multi-food Oral Immunotherapy. 536 - Sahar Hooshmand, Paniz Abedin, Daniel Gibney, Srinivas Aluru, Sharma V. Thankachan:
Faster Computation of Genome Mappability. 537 - Cooper J. Park, Keir J. Macartney, Junfu Shen, Kunpeng Xie, Xin Zhang, R. Daniel Bergeron, W. Kelley Thomas, Cheryl P. Andam, Anthony Westbrook:
A Novel Approach for Increasing Taxonomic Resolution in Protein-Based Alignments. 538 - Kyle Haas, Malika Mahoui, Simone Gupta, Stuart Morton:
Using Similarity Metrics on Real World Data to Recommend the Next Treatment. 539 - Jodh Pannu, Sriram P. Chockalingam, Sharma V. Thankachan, Srinivas Aluru:
An Alignment-free Heuristic for Fast Sequence Comparisons with Applications to Phylogeny Reconstruction. 540 - Sachin Gavali, Julie Cowart, Chuming Chen, Karen Ross, Cathy H. Wu:
RESTful API for iPTMnet: An Integrated Resource for Protein Post-translational Modification Network Discovery. 541 - Chuming Chen, Julie E. Cowart, Jia Ren, Sachin Gavali, Yuqi Wang, Hongzhan Huang, Cathy H. Wu, Leslie Arminski, Jian Zhang, Peter B. McGarvey:
Cloud-based Semantic Integration and Knowledge Discovery Systems in Precision Medicine. 542 - Anup P. Challa, Robert R. Lavieri, Judith T. Lewis, Nicole M. Zaleski, Jana K. Shirey-Rice, Paul A. Harris, Jill M. Pulley:
Systematically Prioritizing Targets in Genome-Based Drug Repurposing. 543 - Salvi Singh, Nancy Lan Guo:
Genet-CNV: Boolean Implication Networks for Modelling Genome-Wide Co-occurrence of DNA Copy Number Variations. 544 - Madara Hetti Arachchilage, Helen Piontkivska:
Coevolutionary Patterns in HIV-1 Pre-integration Complex Offer Insights into Protein Structural Constraints. 545 - Yana Hrytsenko, Noah M. Daniels, Rachel S. Schwartz:
Efficient Distance Calculations Between Genomes Using Mathematical Approximation. 546 - Joseph D. Barry, Svetlana Shulga Morskaya, Tuyen Nguyen, Sarah Solomon, Kevin Fitzgerald, Stuart Milstein, Greg Hinkle:
RNA-Seq Dose Response Experiments for Quantification of Off-Target Effects with RNAi Therapeutics. 547 - Manal Othman, Sujay Ratna, Anant Tewari, Anthony M. Kang, Iosif I. Vaisman:
Machine Learning Classification of Antimicrobial Peptides Using Reduced Alphabets. 548 - Justin Barry, Srivathsan Srinivasagopalan, Sharma V. Thankachan, Varadraj Prabhu Gurupur:
Diagnosing Schizophrenia: A Deep Learning Approach. 549 - Anton Nekhai, Maria Atamanova, Pavel Avdeyev, Max A. Alekseyev:
A Rapid Exact Solution for the Guided Genome Halving Problem. 550 - DuWayne L. Willett, Ambarish Pandey, NNeka L. Ifejika, Vaishnavi Kannan, Jarett D. Berry, Mujeeb A. Basit:
State Diagrams for Automating Disease "Risk Pyramid" Data Collection and Tailored Clinical Decision Support. 551-552
Tutorials
- Tamar Sofer, Mariaelisa Graff:
Analysis of Sequencing Data: Tutorial Overview Abstract. 553 - Kevin Molloy, Nasrin Akhter, Amarda Shehu:
Modeling Macromolecular Structures and Motions: Computational Methods for Sampling and Analysis of Energy Landscapes. 554 - Mujeeb A. Basit, Vaishnavi Kannan, DuWayne L. Willett:
Agile Clinical Decision Support Development and Implementation. 555 - Yanjun Qi:
ACM-BCB'18 Tutorial: Making Deep Learning Understandable for Analyzing Sequential Data about Gene Regulation. 556 - Ka Yee Yeung, Ling-Hong Hung, Wes Lloyd:
Using BioDepot-workflow-Builder to Create and Execute Reproducible Bioinformatics Workflows. 557 - Alex V. Kotlar, Thomas S. Wingo:
Tutorial: Rapidly Identifying Disease-associated Rare Variants using Annotation and Machine Learning at Whole-genome Scale Online. 558 - Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai:
Interpretable Machine Learning in Healthcare. 559-560
Invited Keynote Talks
- Mona Singh:
Sequence, Structure and Network Methods to Uncover Cancer Genes. 561 - Joshua C. Denny:
Huge Cohorts, Genomics, and Clinical Data to Personalize Medicine. 562 - Avi Ma'ayan:
The Art of Connectivity Mapping. 563
Hightlights
- Lenore Cowen, Xiaoqian Jiang:
Highlights Talks at ACM BCB 2018. 564 - Jie Hou, Badri Adhikari, Jianlin Cheng:
DeepSF: Deep Convolutional Neural Network for Mapping Protein Sequences to Folds. 565 - Maxwell W. Libbrecht, Jeffrey A. Bilmes, William Stafford Noble:
Choosing Non-redundant Representative Subsets Of Protein Sequence Data Sets Using Submodular Optimization. 566 - Aditya Pratapa, Neil Adames, Pavel K. Kraikivski, Nicholas Franzese, John J. Tyson, Jean Peccoud, T. M. Murali:
CrossPlan: Systematic Planning of Genetic Crosses to Validate Mathematical Models. 567 - Dinler A. Antunes, Didier Devaurs, Mark Moll, Gregory Lizée, Lydia E. Kavraki:
General Prediction of Peptide-MHC Binding Modes Using Incremental Docking: A Proof of Concept. 568 - Vipin Vijayan, Tijana Milenkovic:
Aligning Dynamic Networks with DynaWAVE. 569 - Moumita Bhattacharya, Claudine Jurkovitz, Hagit Shatkay:
Co-occurrence of Medical Conditions: Exposing Patterns Through Probabilistic Topic Modeling. 570 - Pavel Avdeyev, Shuai Jiang, Max A. Alekseyev:
Implicit Transpositions in DCJ Scenarios. 571 - Guo-Qiang Zhang, Licong Cui, Remo Mueller, Shiqiang Tao, Matthew Kim, Michael Rueschman, Sara Mariani, Daniel R. Mobley, Susan Redline:
The National Sleep Research Resource: Towards a Sleep Data Commons. 572 - Serghei Mangul, Harry (Taegyun) Yang, Noah Zaitlen:
ROP: Dumpster Diving in RNA-sequencing to Find the Source of 1 Trillion Reads Across Diverse Adult Human Tissues. 573
Computational Advances in Molecular Epidemiology (CAME) Workshop
- Yury Khudyakov, Ion I. Mandoiu, Pavel Skums, Alexander Zelikovsky:
ACM-BCB 2018 Computational Advances in Molecular Epidemiology (CAME) Chairs' Welcome. 574
BioCreative/OHNLP Challenge
- Majid Rastegar-Mojarad, Sijia Liu, Yanshan Wang, Naveed Afzal, Liwei Wang, Feichen Shen, Sunyang Fu, Hongfang Liu:
BioCreative/OHNLP Challenge 2018. 575
The 5th Int'l Workshop on Computational Network Biology: Modeling, Analysis, & Control
- Aditya Lahiri, Priyadharshini S. Venkatasubramani, Aniruddha Datta:
Bayesian Modeling of Plant Drought Resistance Pathway. 576 - Marianna Milano, Wayne B. Hayes, Pierangelo Veltri, Mario Cannataro, Pietro Hiram Guzzi:
SL-GLAlign: Improving the Local Alignment of Biological Networks through Simulated Annealing. 577-578 - John L. Pfaltz:
An Algorithmic Approach to the Representation of Biological Information and Long-term Memory. 579-580 - Yuanfang Ren, Ahmet Ay, Alin Dobra, Tamer Kahveci:
Characterizing Building Blocks of Resource Constrained Biological Networks. 581-582 - Aminur Rahman, Saugato Rahman Dhruba, Souparno Ghosh, Ranadip Pal:
Recursive Model for Dose-time Responses in Pharmacological Studies. 583 - Saba Nafees, Sean H. Rice, Caleb Phillips:
Analyzing Genomic Data Using Tensor-based Orthogonal Polynomials. 584 - Minghan Chen, Yang Cao:
Analysis and Remedy of Negativity Problem in Hybrid Stochastic Simulation Algorithm and its Application: Extended Abstract. 585-586 - Hyun-Myung Woo, Hyundoo Jeong, Byung-Jun Yoon:
Comprehensive Updates in Network Synthesis Models to Create An Improved Benchmark for Network Alignment Algorithms. 587-588 - Mansooreh Ahmadian, John J. Tyson, Yang Cao:
A Stochastic Model of Size Control in the Budding Yeast Cell Cycle. 589-590 - Rasha Elhesha, Aisharjya Sarkar, Christina Boucher, Tamer Kahveci:
Identification of Co-evolving Temporal Networks. 591-592 - Shahin Boluki, Siamak Zamani Dadaneh, Xiaoning Qian, Edward R. Dougherty:
Optimal Clustering with Missing Values. 593-594 - Dalia Elmansy, Mehmet Koyutürk:
Cross-Population Analysis for Functional Characterization of Type II Diabetes Variants. 595 - Ehsan Hajiramezanali, Mahdi Imani, Ulisses M. Braga-Neto, Xiaoning Qian, Edward R. Dougherty:
Scalable Optimal Bayesian Classification of Single-Cell Trajectories under Regulatory Model Uncertainty. 596-597 - Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
HetNetAligner: A Novel Algorithm for Local Alignment of Heterogeneous Biological Networks. 598-599 - Songyao Zhang, Shaowu Zhang, Xiaonan Fan, Jia Meng, Yidong Chen, Yufei Huang:
A Machine Learning Approach for Uncovering N6-methyladenosine-Disease Association. 600 - Xiao Liang, William Chad Young, Ling-Hong Hung, Adrian E. Raftery, Ka Yee Yeung:
Integration of Multiple Data Sources for Gene Network Inference using Genetic Perturbation Data: Extended Abstract. 601-602 - Ali Foroughi Pour, Lori A. Dalton:
Bayesian Biomarker Discovery for RNAseq Data. 603-604 - Gaoxiang Zhou, Kai-Wen Liang, Natasa Miskov-Zivanov:
Sensitivity Analysis of Discrete Models and Application in Biological Networks. 605-606 - Mohammed Alokshiya, Saeed Salem, Fidaa Abed:
A Linear Delay Linear Space Algorithm for Enumeration of All Connected Induced Subgraphs. 607 - Chieh Lo, Radu Marculescu:
MetaNN: Accurate Classification of Host Phenotypes From Metagenomic Data Using Neural Networks. 608-609 - Miriam Bern, Alexander King, Derek A. Applewhite, Anna M. Ritz:
Network-Based Prediction of Polygenic Disease Genes Involved in Cell Motility: Extended Abstract. 610-611 - Hari Krishna Yalamanchili, Hyun-Hwan Jeong, Zhandong Liu:
Decoding TDP-43 Dependent Cryptic Splicing in Amyotrophic Lateral Sclerosis and Identifying Novel Disease-causing Genes. 612
The 2018 Computational Structural Bioinformatics Workshop
- Filip Jagodzinski, Brian Y. Chen, Kevin Molloy:
ACM-BCB 2018 Computational Structural Bioinformatics Workshop (CSBW) Chairs' Welcome. 613-614 - Fahad Almsned, Gideon Gogovi, Nicole Bracci, Kylene Kehn-Hall, Estela Blaisten-Barojas, Amarda Shehu:
Modeling the Tertiary Structure of a Multi-domain Protein: Structure Prediction of Multi-domain Proteins. 615-620 - Liban Hassan, Zahra Rajabi, Nasrin Akhter, Amarda Shehu:
Community Detection for Decoy Selection in Template-free Protein Structure Prediction. 621-627 - Devin Haslam, Tao Zeng, Rongjian Li, Jing He:
Exploratory Studies Detecting Secondary Structures in Medium Resolution 3D Cryo-EM Images Using Deep Convolutional Neural Networks. 628-632 - Ting Da, Jianzhong Ding, Liang Yang, Gregory S. Chirikjian:
A Method for Fully Automated Particle Picking in Cryo-Electron Microscopy Based on a CNN. 633-638 - Jingjing Yang, Renzhi Cao, Dong Si:
EMNets: A Convolutional Autoencoder for Protein Surface Retrieval Based on Cryo-Electron Microscopy Imaging. 639-644 - Radoslav Krivák, Lukás Jendele, David Hoksza:
Peptide-Binding Site Prediction From Protein Structure via points on the Solvent Accessible Surface. 645-650 - Lin Chen, Jing He:
Using Combined Features to Analyze Atomic Structures derived from Cryo-EM Density Maps. 651-655 - Jinbu Wang, Brian Y. Chen:
MAPS: Analyzing Peptide Binding Subsites in Major Histocompatibility Complexes. 656-662 - Scott P. Morton, Jonathan Howton, Joshua L. Phillips:
Sub-Class Differences of PH-Dependent HIV GP120-CD4 Interactions. 663-668 - Todor K. Avramov, Dong Si:
Deep Learning for Resolution Validation of Three Dimensional Cryo-Electron Microscopy Density Maps. 669-674 - Joshua L. Phillips, Michael E. Colvin, Shawn D. Newsam:
Dimensionality Estimation of Protein Dynamics Using Polymer Models. 675-680 - Nicholas Majeske, Filip Jagodzinski, Brian Hutchinson, Tanzima Z. Islam:
Low Rank Smoothed Sampling Methods for Identifying Impactful Pairwise Mutations. 681-686
ACM-BCB 2018 ParBio
- Giuseppe Agapito, Wes Lloyd:
ACM-BCB 2018 ParBio Chairs' Welcome & Organization. 687-688 - Valentina Falvo, Mariagrazia Scalise, Francesco Lupia, Pierfrancesco Casella, Mario Cannataro:
A Cooperative Vehicle Routing Platform for Logistic Management in Healthcare. 689-692 - Giuseppe Tradigo, Patrizia Vizza, Pasquale Lambardi, Pietro Hiram Guzzi, Aldo Quattrone, Pierangelo Veltri:
A Voice-Aware System for Vocal Wellness. 693-698 - Qinghan Xue, Mooi Choo Chuah:
Deep Learning Based Medical Diagnosis System Using Multiple Data Sources. 699-706
NCI Cloud Resources
- Hsinyi Tsang, KanakaDurga Addepalli:
National Cancer Institute Cloud Resources. 707
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