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Biocomputing 2021 - Proceedings Of The Pacific Symposium [Kõva köide]

Edited by (Stanford Univ, Usa), Edited by (Stanford Univ, Usa), Edited by (Univ Of Pennsylvania, Usa), Edited by (Stanford Univ, Usa), Edited by (Indiana Univ, Usa), Edited by (Univ Of Colorado Health Sciences Center, Usa)
  • Formaat: Hardback, 380 pages
  • Ilmumisaeg: 30-Apr-2021
  • Kirjastus: World Scientific Publishing Co Pte Ltd
  • ISBN-10: 9811232695
  • ISBN-13: 9789811232695
Teised raamatud teemal:
  • Formaat: Hardback, 380 pages
  • Ilmumisaeg: 30-Apr-2021
  • Kirjastus: World Scientific Publishing Co Pte Ltd
  • ISBN-10: 9811232695
  • ISBN-13: 9789811232695
Teised raamatud teemal:

The Pacific Symposium on Biocomputing (PSB) 2021 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 2021 will be held on a virtual platform at http: //psb.stanford.edu/ on January 5 – 7, 2021. Tutorials and workshops will be offered prior to the start of the conference. PSB 2021 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 ix
ACHIEVING TRUSTWORTHY BIOMEDICAL DATA
Session Introduction: Achieving Trustworthy Biomedical Data Solutions
1(13)
Peter Washington
Serena Yeung
Bethany Pcrcha
Nicholas Tatonetti
Jan Liphardt
Dennis P. Wall
Selection of Trustworthy Crowd Workers for Telemedical Diagnosis of Pediatric Autism Spectrum Disorder
14(12)
Peter Washington
Emilie Leblanc
Kaitlyn Dunlap
Yordan Penev
Maya Varma
Jae-Yoon Jung
Brianna Chrisman
Min Woo Sun
Nathaniel Stockham
Kelley Marie Paskov
Haik Kalantarian
Catalin Voss
Nick Haber
Dennis P. Wall
Differential Privacy Protection Against Membership Inference Attack on Machine Learning for Genomic Data
26(12)
Junjie Chen
Wendy Hui Wang
Xinghua Shi
Making Compassionate Use More Useful: Using Real-World Data, Real-World Evidence and Digital Twins to Supplement or Supplant Randomized Controlled Trials
38(12)
Dov Greenbaum
ADVANCED METHODS FOR BIG DATA ANALYTICS IN WOMEN'S HEALTH
Session Introduction: Advanced Methods for Big Data Analytics in Women's Health
50(5)
Mary Regina Boland
Karin Vcrspoor
Maricel G. Kann
Su Golder
Lisa Levine
Karen O'Connor
Natalia Villanueva-Rosales
Graciela Gonzalez-Hernandez
Intimate Partner Violence and Injury Prediction from Radiology Reports
55(12)
Irene Y. Chen
Emily Alsentzcr
Hyesun Park
Richard Thomas
Babina Gosangi
Rahul Gujrathi
Bharti Khurana
Not All C-sections Are the Same: Investigating Emergency vs. Elective C-section deliveries as an Adverse Pregnancy Outcome
67(12)
Silvia P. Canelon
Mary Regina Boland
Co-occurrence Patterns of Intimate Partner Violence
79(12)
Ahmet Hacialicfendioglu
Serhan Yilmaz
Mehmet Koyuturk
Gunnur Karakurt
BIOCOMPUTING AND AL FOR INFECTIOUS DISEASE MODELLING AND THERAPEUTICS
Session Introduction: Al for Infectious Disease Modelling and Therapeutics
91(4)
Gil Alterovitz
Wci-Lun Alterovitz
Gail H. Cassell
Lixin Zhang
A. Keith Dunker
Characterization of Anonymous Physician Perspectives on COVID-19 Using Social Media Data
95(12)
Katherine J. Sullivan
Marisha Burden
Angela Keniston
Juan M. Banda
Lawrence E. Hunter
Semantic Changepoint Detection for Finding Potentially Novel Research Publications
107(12)
Bhavish Dinakar
Mayla R. Boguslav
Carsten Gflrg
Deendayal Dinakarpandian
TreeFix-TP: Phylogenetic Error-Correction for Infectious Disease Transmission Network Inference
119(12)
Samuel Sledzicski
Chcngchcn Zhang
Ion Mandoiu
Mukul S. Bansal
SARS-CoV-2 Drug Discovery based on Intrinsically Disordered Regions
131(12)
Anish Mudide
Gil Alterovitz
Feasibility of the Vaccine Development for SARS-CoV-2 and Other Viruses Using the Shell Disorder Analysis
143(11)
Gerard Kian-McNg Goh
A. Keith Dunker
James A. Foster
Vladimir N. Uversky
Protein Sequence Models for Prediction and Comparative Analysis of the SARS-CoV-2-Human Interactome
154(12)
Mcghana Kshirsagar
Nurc Tasnina
Michael D. Ward
Jeffrey N. Law
T. M. Murali
Juan M. Lavista Ferres
Gregory R. Bowman
Judith Klein-Scctharaman
COMPUTATIONAL CHALLENGES AND ARTIFICIAL INTELLIGENCE IN PRECISION MEDICINE
Session Introduction: Computational Challenges and Artificial Intelligence in Precision Medicine
166(6)
Olga Afanasiev
Joanne Berghout
Steven E. Brenner
Martha L. Bulyk
Dana C. Crawford
Jonathan H. Chen
Roxana Daneshjou
Lukasz Kidzinski
AeQTL: eQTL Analysis Using Region-Based Aggregation of Rare Genomic Variants
172(12)
Guanlan Dong
Michael C. Wendl
Bin Zhang
Li Ding
Kuan-lin Huang
Drug Response Pharmacogenetics for 200,001) UK Biobank Participants
184(12)
Gregory Mclnnes
Russ B. Airman
ParKCa: Causal Inference with Partially Known Causes
196(12)
Raquel Aoki
Martin Ester
Optimization of Genomic Classifiers for Clinical Deployment: Evaluation of Bayesian Optimization to Select Predictive Models of Acute Infection and ln-Hospitul Mortality
208(12)
Michael B. Mayhew
Elizabeth Tran
Kirindi Choi
Uros Midic
Roland Luethy
Nandita Damaraju
Ljubomir Buturovic
Truelmage: A Machine Learning Algorithm to Improve the Quality ofTelehealth Photos
220(12)
Kailas Vodrahalli
Roxana Daneshjou
Roberto A. Novoa
Albert Chiou
Justin M. Ko
James Zou
CheXclwiion: Fairness Gaps in Deep Chest X-ray Classifiers
232(12)
Laleh Scyyed-Kalantari
Guanxiong Liu
Matthew McDcrmott
Irene Y. Chen
Marzych Ghassemi
Incorporation of DNA Methylation into eQTL Mapping in African Americans
244(12)
Anmol Singh
Yizhen Zhong
Layan Nahlawi
C. Sehwan Park
Tanima De
Cristina Alarcon
Minoli A. Perera
PATTERN RECOGNITION IN BIOMEDICAL DATA FOR DISCOVERY
Session Introduction: Innovative Methodological Approaches for Data Integration to Derive Patterns Across Diverse, Large-Scale Biomedical Datasets
256(5)
Brett Beaulieu-Jones
Christian Darabos
Dokyoon Kim
Anurag Verma
Shilpa Nadimpalli Kobren
Frequent Subgraph Mining of Functional Interaction Patterns Across Multiple Cancers
261(12)
Arda Durmaz
Tim A. D. Henderson
Gurkan Bebek
Cross-modal Representation Alignment of Molecular Structure and Perturbation-Induced Transcriptional Profiles
273(12)
Samuel G. Finlayson
Matthew B.A. McDermott
Alex V. Pickering
Scott L. Lipnick
Isaac S. Kohane
Topological Feature Extraction and Visualization of Whole Slide Images Using Graph Neural Networks
285(12)
Joshua Levy
Christian Haudenschild
Clark Barwick
Brock Christensen
Louis Vaickus
A Multi-Scale Integrated Analysis Identifies KRT8 as a Pan-Cancer Early Biomarker
297(12)
Madeleine K. D. Scott
Michael G. Ozawa
Pauline Chu
Mancesha Limaye
Viswam S. Nair
Steven Schaffcrt
Albert C. Koong
Robert West
Purvesh Khatri
WHAT ABOUT THE ENVIRONMENT? LEVERAGING MULTI-OMIC DATASETS TO CHARACTERIZE THE ENVIRONMENT'S ROLE IN HUMAN HEALTH
Session Introduction: What About the Environment? Leveraging Multi-Omic Datasets to Characterize the Environment's Role in Human Health
309(7)
Kristin Passero
Shefali Setia-Verma
Kimberly McAllister
Arjun Manrai
Chirag Patel
Molly Hall
Semi-automated NMR Pipeline for Environmental Exposures: New Insights on the Metabolomics of Smokers versus Non-smokers
316(12)
Morris A. Aguilar
John McGuigan
Molly A. Hall
How Much Does the (Social) Environment Matter? Using Artificial Intelligence to Predict COV1D-19 Outcomes with Socio-demographic Data
328(8)
Christos A. Makridis
Anish Mudibe
Gil Alterovitz
WORKSHOPS
Bioinformatics of Corals: Investigating Heterogeneous Omics Data from Coral Holobionts for Insight into Reef Health and Resillience
336(5)
Lenore J. Cowcn
Judith Klein-Sectharaman
Hollie Putnam
Establishing the Reliability of Algorithms
341(5)
Lara Mangravite
Sean D. Mooney
Iddo Friedberg
Justin Guinney
Making Tools that People Will Use: User-Centered Design in Computational Biology Research
346(5)
Mary Goldman
Nils Gehlenborg
Raising the Stakeholders: Improving Patient Outcomes Through Interprofessional Collaborations in Al for Healthcare
351(5)
Carly A. Bobak
Marck Svoboda
Kristinc A. GifTin
Dennis P. Wall
Jason Moore
Translational Bioinformatws: Integrating Electronic Health Record and Omics Data
356
Dokyoon Kim
Ju Han Kim
Jason H. Moore