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Biocomputing 2016 - Proceedings Of The Pacific Symposium [Kietas viršelis]

Edited by (Stanford Univ, Usa), Edited by (Univ Of Pennsylvania, Usa), Edited by (Indiana Univ, Usa), Edited by (Univ Of Colorado Health Sciences Center, Usa), Edited by (Stanford Univ, Usa), Edited by (Stanford Univ, Usa)
  • Formatas: Hardback, 604 pages
  • Išleidimo metai: 19-Jan-2016
  • Leidėjas: World Scientific Publishing Co Pte Ltd
  • ISBN-10: 9814749400
  • ISBN-13: 9789814749404
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 604 pages
  • Išleidimo metai: 19-Jan-2016
  • Leidėjas: World Scientific Publishing Co Pte Ltd
  • ISBN-10: 9814749400
  • ISBN-13: 9789814749404
Kitos knygos pagal šią temą:
The Pacific Symposium on Biocomputing (PSB) 2016 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. PSB 2016 will be held on January 4 – 8, 2016 in Kohala Coast, Hawaii. Tutorials and workshops will be offered prior to the start of the conference.PSB 2016 will bring together top researchers from the US, the Asian Pacific nations, and around the world to exchange research results and address open issues in all aspects of computational biology. It is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology.The PSB has been designed to be responsive to the need for critical mass in sub-disciplines within biocomputing. For that reason, it is the only meeting whose sessions are defined dynamically each year in response to specific proposals. PSB sessions are organized by leaders of research in biocomputing's "hot topics." In this way, the meeting provides an early forum for serious examination of emerging methods and approaches in this rapidly changing field.
Preface iv
Discovery Of Molecularly Targeted Therapies
Session Introduction
1(8)
Kelly Regan
Zachary Abrams
Michael Sharpnack
Arunima Srivastava
Kun Huang
Nigam Shah
Philip R.O. Payne
An Integrated Network Approach to Identifying Biological Pathways and Environmental Exposure Interactions in Complex Diseases
9(12)
Christian Darabos
Jingya Qiu
Jason H. Moore
Computing Therapy for Precision Medicine: Collaborative Filtering Integrates and Predicts Multi-entity Interactions
21(12)
Sam Regenbogen
Angela D. Wilkins
Olivier Lichtarge
Knowledge-Assisted Approach to Identify Pathways with Differential Dependencies
33(12)
Gil Speyer
Jeff Kiefer
Harshil Dhruv
Michael Berens
Seungchan Kim
Integrating Genetic and Structural Data on Human Protein Kinome in Network-Based Modeling of Kinase Sensitivities and Resistance to Targeted and Personalized Anticancer Drugs
45(12)
Gennady M. Verkhivker
Phenome-Wide Interaction Study (PheWIS) in Aids Clinical Trials Group Data (ACTG)
57(12)
Shefali S. Verma
Alex T. Frase
Anurag Verma
Sarah A. Pendergrass
Shaun Mahony
David W. Haas
Marylyn D. Ritchie
A Framework for Attribute-Based Community Detection with Applications to Integrated Functional Genomics
69(12)
Han Yu
Rachael Hageman Blair
Collective Pairwise Classification for Multi-Way Analysis of Disease and Drug Data
81(12)
Marinka Zitnik
Blaz Zupan
Innovative Approaches To Combining Genotype, Phenotype, Epigenetic, And Exposure Data For Precision Diagnostics
Session Introduction
93(3)
Melissa A. Haendel
Maricel G. Kann
Nicole L. Washington
Testing population-specific quantitative trait associations for clinical outcome relevance in a biorepository linked to electronic health records: LPA and myocardial infarction in African Americans
96(12)
Logan Dumitrescu
Kirsten E. Diggins
Robert Goodloe
Dana C. Crawford
Diagnosis-Guided Method for Identifying Multi-Modality Neuroimaging Biomarkers Associated with Genetic Risk Factors in Alzheimer's Disease
108(12)
Xiaoke Hao
Jingwen Yan
Xiaohui Yao
Shannon L. Risacher
Andrew J. Saykin
Daoqiang Zhang
Li Shen
Metabolomics Differential Correlation Network Analysis of Osteoarthritis
120(12)
Ting Hu
Weidong Zhang
Zhaozhi Fan
Guang Sun
Sergei Likhodi
Edward Randell
Guangju Zhai
Investigating the Importance of Anatomical Homology for Cross-Species Phenotype Comparisons Using Semantic Similarity
132(12)
Prashanti Manda
Christopher J. Mungall
James P. Balhoff
Hilmar Lapp
Todd J. Vision
Discovering Patient Phenotypes Using Generalized Low Rank Models
144(12)
Alejandro Schuler
Vincent Liu
Joe Wan
Alison Callahan
Madeleine Udell
David E. Stark
Nigam H. Shah
Inference of Personalized Drug Targets via Network Propagation
156(12)
Ortal Shnaps
Eyal Perry
Dana Silverbush
Roded Sharan
Integrating Clinical Laboratory Measures and ICD-9 Code Diagnoses in Phenome-Wide Association Studies
168(12)
Anurag Verma
Joseph B. Leader
Shefali S. Verma
Alex Frase
John Wallace
Scott Dudek
Daniel R. Lavage
Cristopher V. Van Hout
Frederick E. Dewey
John Penn
Alex Lopez
John D. Overton
David J. Carey
David H. Ledbetter
H. Lester Kirchner
Marylyn D. Ritchie
Sarah A. Pendergrass
Methods To Enhance The Reproducibility Of Precision Medicine
Session Introduction
180(3)
Arjun K. Manrai
Chirag J. Patel
Nils Gehlenborg
Nicholas P. Tatonetti
John P.A. Ioannidis
Isaac S. Kohane
Reproducible Research Workflow in R for the Analysis of Personalized Human Microbiome Data
183(12)
Benjamin Callahan
Diana Proctor
David Relman
Julia Fukuyama
Susan Holmes
Dynamically Evolving Clinical Practices and Implications for Predicting Medical Decisions
195(12)
Jonathan H. Chen
Mary K. Goldstein
Steven M. Asch
Russ B. Altman
Repurposing Germline Exomes of the Cancer Genome Atlas Demands a Cautious Approach and Sample-Specific Variant Filtering
207(12)
Amanda Koire
Panagiotis Katsonis
Olivier Lichtarge
Identification of Questionable Exclusion Criteria in Mental Disorder Clinical Trials Using a Medical Encyclopedia
219(12)
Handong Ma
Chunhua Weng
Reproducible and Shareable Quantifications of Pathogenicity
231(12)
Arjun K. Manrai
Brice L. Wang
Chirag J. Patel
Isaac S. Kohane
Precision Medicine: Data And Discovery For Improved Health And Therapy
Session Introduction
243(6)
Alexander A. Morgan
Sean D. Mooney
Bruce J. Aronow
Steven E. Brenner
Knowledge Driven Binning and PheWAS Analysis in Marshfield Personalized Medicine Research Project Using BioBin
249(12)
Anna O. Basile
John R. Wallace
Peggy Peissig
Catherine A. McCarty
Murray Brilliant
Marylyn D. Ritchie
Multitask Feature Selection with Task Descriptors
261(12)
Victor Bellon
Veronique Stoven
Chloe-Agathe Azencott
Personalized Hypothesis Tests for Detecting Medication Response in Parkinson Disease Patients Using iPhone Sensor Data
273(12)
Elias Chaibub Neto
Brian M. Bot
Thanneer Perumal
Larsson Omberg
Justin Guinney
Mike Kellen
Arno Klein
Stephen H. Friend
Andrew D. Trister
Kidney Disease Genetics and the Importance of Diversity in Precision Medicine
285(12)
Jessica N. Cooke Bailey
Sarah Wilson
Kristin Brown-Gentry
Robert Goodloe
Dana C. Crawford
Predicting Significance of Unknown Variants in Glial Tumors Through Sub-Class Enrichment
297(12)
Alex M. Fichtenholtz
Nicholas D. Camarda
Eric K. Neumann
Do Cancer Clinical Trial Populations Truly Represent Cancer Patients? A Comparison of Open Clinical Trials to the Cancer Genome Atlas
309(12)
Nophar Geifman
Atul J. Butte
Patient-Specific Data Fusion for Cancer Stratification and Personalised Treatment
321(12)
Vladimir Gligorijevic
Noel Malod-Dognin
Natasa Przulj
PRISM: A Data-Driven Platform for Monitoring Mental Health
333(12)
Maulik R. Kamdar
Michelle J. Wu
Bayesian Biclustering for Patient Stratification
345(12)
Sahand Khakabimamaghani
Martin Ester
Biofilter as a Functional Annotation Pipeline for Common and Rare Copy Number Burden
357(12)
Dokyoon Kim
Anastasia Lucas
Joseph Glessner
Shefali S. Verma
Yuki Bradford
Ruowang Li
Alex T. Frase
Hakon Hakonarson
Peggy Peissig
Murray Brilliant
Marylyn D. Ritchie
The Challenges in Using Electronic Health Records for Pharmacogenomics and Precision Medicine Research
369(12)
Sarah M. Laper
Nicole A. Restrepo
Dana C. Crawford
Separating the Causes and Consequences in Disease Transcriptome
381(12)
Yong Fuga Li
Fuxiao Xin
Russ B. Altman
A Bayesian Nonparametric Model for Reconstructing Tumor Subclones Based on Mutation Pairs
393(12)
Subhajit Sengupta
Tianjian Zhou
Peter Mueller
Yuan Ji
One-Class Detection of Cell States in Tumor Subtypes
405(12)
Artem Sokolov
Evan O. Paull
Joshua M. Stuart
RDF Sketch Maps -- Knowledge Complexity Reduction for Precision Medicine Analytics
417(12)
Nattapon Thanintorn
Juexin Wang
Ilker Ersoy
Zainab Al-Taie
Yuexu Jiang
Duolin Wang
Megha Verma
Trupti Joshi
Richard Hammer
Dong Xu
Dmitriy Shin
Regulatory RNA
Session Introduction
429(4)
Drena Dobbs
Steven E. Brenner
Vasant G. Honavar
Robert L. Jernigan
Alain Laederach
Quaid Morris
Cseq-Simulator: A Data Simulator for CLIP-Seq Experiments
433(12)
Wanja Kassuhn
Uwe Ohler
Philipp Drewe
A Motif-Based Method for Predicting Interfacial Residues in Both the RNA and Protein Components of Protein-RNA Complexes
445(11)
Usha K. Muppirala
Benjamin A. Lewis
Carla M. Mann
Drena Dobbs
Detection of Bacterial Small Transcripts from RNA-Seq Data: A Comparative Assessment
456(12)
Lourdes Pena-Castillo
Marc Gruell
Martin E. Mulligan
Andrew S. Lang
Social Media Mining For Public Health Monitoring And Surveillance
Session Introduction
468(12)
Michael J. Paul
Abeed Sarker
John S. Brownstein
Azadeh Nikfarjam
Matthew Scotch
Karen L. Smith
Graciela Gonzalez
Text Classification for Automatic Detection of E-Cigarette Use and Use for Smoking Cessation from Twitter: A Feasibility Pilot
480(12)
Yin Aphinyanaphongs
Armine Lulejian
Duncan Penfold Brown
Richard Bonneau
Paul Krebs
Monitoring Potential Drug Interactions and Reactions via Network Analysis of Instagram User Timelines
492(12)
Rion Brattig Correia
Lang Li
Luis M. Rocha
Towards Early Discovery of Salient Health Threats: A Social Media Emotion Classification Technique
504(12)
Bahadorreza Ofoghi
Meghan Mann
Karin Verspoor
Predicting Individual Well-Being Through the Language of Social Media
516(12)
H. Andrew Schwartz
Maarten Sap
Margaret L. Kern
Johannes C. Eichstaedt
Adam Kapelner
Megha Agrawal
Eduardo Blanco
Lukasz Dziurzynski
Gregory Park
David Stillwell
Michal Kosinski
Martin E.P. Seligman
Lyle H. Ungar
Finding Potentially Unsafe Nutritional Supplements from User Reviews with Topic Modeling
528(12)
Ryan Sullivan
Abeed Sarker
Karen O'Connor
Amanda Goodin
Mark Karlsrud
Graciela Gonzalez
Insights from Machine-Learned Diet Success Prediction
540(12)
Ingmar Weber
Palakorn Achananuparp
Workshops
Translational Bioinformatics 101
552(5)
Jessica D. Tenenbaum
Subha Madhavan
Robert R. Freimuth
Joshua C. Denny
Lewis Frey
Computational Approaches to Study Microbes and Microbiomes
557(11)
Casey S. Greene
James A. Foster
Bruce A. Stanton
Deborah A. Hogan
Yana Bromberg
Use of Genome Data in Newborns as a Starting Point for Life-Long Precision Medicine
568(8)
Steven E. Brenner
Stephen Kingsmore
Sean D. Mooney
Robert Nussbaum
Jennifer Puck
Workshop on Topology and Abstract Algebra for Biomedicine
576(5)
Eric K. Neumann
Svetlana Lockwood
Bala Krishnamoorthy
David Spivak
Social Media Mining Shared Task Workshop
581
Abeed Sarker
Azadeh Nikfarjam
Gracida Gonzalez