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Biocomputing 2023 - Proceedings Of The Pacific Symposium [Hardback]

Edited by (Univ Of Colorado Health Sciences Center, Usa), Edited by (Stanford Univ, Usa), Edited by (Univ Of Pennsylvania, Usa), Edited by (Stanford Univ, Usa), Edited by (Stanford Univ, Usa)
  • Formāts: Hardback, 572 pages
  • Izdošanas datums: 19-Jan-2023
  • Izdevniecība: World Scientific Publishing Co Pte Ltd
  • ISBN-10: 9811270600
  • ISBN-13: 9789811270604
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  • Cena: 230,28 €
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  • Formāts: Hardback, 572 pages
  • Izdošanas datums: 19-Jan-2023
  • Izdevniecība: World Scientific Publishing Co Pte Ltd
  • ISBN-10: 9811270600
  • ISBN-13: 9789811270604
Citas grāmatas par šo tēmu:
The Pacific Symposium on Biocomputing (PSB) 2023 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 2023 will be held on January 3-7, 2023 in Kohala Coast, Hawaii. Tutorials and workshops will be offered prior to the start of the conference.PSB 2023 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 xi
DIGITAL HEALTH TECHNOLOGY DATA IN BIOCOMPUTING: RESEARCH EFFORTS AND CONSIDERATIONS FOR EXPANDING ACCESS
Session Introduction
1(1)
Michelle Holko
Chris Lunt
Jessilyn Dunn
Detection of Mild Cognitive Impairment from Language Markers with Crossmodal Augmentation
1(18)
Guangliang Liu
Zhiyu Xue
Liang Zhan
Hiroko H. Dodge
Jiayu Zhou
How Fitbit data are being made available to registered researchers in All of Us Research Program
19(12)
Hiral Master
Aymone Kouame
Kayla Marginean
Melissa Basford
Paul Harris
Michelle Holko
Risk for Poor Post-Operative Quality of Life Among Wearable Use Subgroups in an All of Us Research Cohort
31(12)
Nidhi Soley
Shanshan Song
Natalie Flaks-Manov
Casey Overby Taylor
Feasibility of Using an Armband Optical Heart Rate Sensor in Naturalistic Environment
43(12)
Hang Yu
Michael Kotlyar
Sheena Dufresne
Paul Thuras
Serguei Pakhomov
GRAPH REPRESENTATIONS AND ALGORITHMS IN BIOMEDICINE
Session Introduction
55(6)
Brianna Chrisman
Maya Varma
Sepideh Maleki
Maria Brbic
Cliff Joslyn
Marinka Zitnik
Mutual interactors as a principle for phenotype discovery in molecular interaction networks
61(12)
Sabri Eyuboglu
Marinka Zitnik
Jure Leskovec
Prediction of Kinase-Substrate Associations Using The Functional Landscape of Kinases and Phosphorylation Sites
73(12)
Marzieh Ayati
Serhan Yilmaz
Filipa Blasco Tavares Pereira Lopes
Mark Chance
Mehmet Koyuturk
A Graph Coarsening Algorithm for Compressing Representations of Single-Cell Data with Clinical or Experimental Attributes
85(12)
Chi-Jane Chen
Emma Crawford
Natalie Stanley
Time-aware Embeddings of Clinical Data using a Knowledge Graph
97(12)
Karthik Soman
Charlotte A. Nelson
Gabriel Cerono
Sergio E. Baranzini
Contrastive learning ofprotein representations with graph neural networks for structural and functional annotations
109(12)
Jiaqi Luo
Yunan Luo
Selecting Clustering Algorithms for Identity-By-Descent Mapping
121(12)
Ruhollah Shemirani
Gillian M. Belbin
Keith Burghardt
Kristina Lerman
Christy L. Avery
Eimear E. Kenny
Christopher R. Gignoux
Jose Luis Ambite
Efficient Reconstruction of Stochastic Pedigrees: Some Steps from Theory to Practice
133(12)
Elchanan Mossel
David Vulakh
Graph algorithms for predicting subcellular localization at the pathway level
145(12)
Chris S. Magnano
Anthony Gitter
Improving target-disease association prediction through a graph neural network with credibility information
157(12)
Chang Liu
Cuinan Yu
Yipin Lei
Kangbo Lyu
Tingzhong Tian
Qianhao Li
Dan Zhao
Fengfeng Zhou
Jianyang Zeng
Integrated Graph Propagation and Optimization with Biological Applications
169(12)
Krithika Krishnan
Tiange Shi
Han Yu
Rachael Hageman Blair
OVERCOMING HEALTH DISPARITIES IN PRECISION MEDICINE
Session Introduction
181(5)
Kathleen C. Barnes
Francisco M. De La Vega
Carlos D. Bustamante
Chris R. Gignoux
Eimear Kenny
Rasika A. Mathias
Bogdan Pasaniuc
A transfer learning approach based on random forest with application to breast cancer prediction in underrepresented populations
186(12)
Tian Gu
Yi Han
Rui Duan
FairPRS: adjusting for admixed populations in polygenic risk scores using invariant risk minimization
198(11)
Diego Machado Reyes
Aritra Bose
Ehud Karavani
Laxmi Parida
Using Association Rules to Understand the Risk of Adverse Pregnancy Outcomes in a Diverse Population
209(12)
Hoyin Chu
Rashika Ramola
Shantanu Jain
David M. Haas
Sriraam Natarajan
Predrag Radivojac
The Role of Global and Local Ancestry on Clopidogrel Response in African Americans
221(12)
Guang Yang
Cristina Alarcon
Paula Friedman
Li Gong
Teri Klein
Travis O'Brien
Edith A. Nutescu
Matthew Tuck
David Meltzer
Minoli A. Perera
Leveraging Multi-Ancestry Polygenic Risk Scores for Body Mass Index to Predict Antiretroviral Therapy-Induced Weight Gain
233(12)
Karl Keat
Daniel Hui
Brenda Xiao
Yuki Bradford
Zinhle Cindi
Eric S. Daar
Roy Gulick
Sharon A. Riddler
Phumla Sinxadi
David W. Haas
Marylyn D. Ritchie
Fine-scale subpopulation detection via an SNP-based unsupervised method: A case study on the 1000 Genomes Project resources
245(12)
Kridsadakorn Chaichoompu
Alisa Wilantho
Pongsakorn Wangkumhang
Sissades Tongsima
Bruno Cavadas
Luisa Pereira
Kristel Van Steen
PRECISION MEDICINE: USING ARTIFICIAL INTELLIGENCE TO IMPROVE DIAGNOSTICS AND HEALTHCARE
Session Introduction
257(6)
Michelle Whirl-Carrillo
Steven E. Brenner
Jonathan H. Chen
Dana C. Crawford
Lukasz Kidziriski
David Ouyang
Roxana Daneshjou
Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer Data
263(12)
Sayed Hashim
Karthik Nandakumar
Mohammad Yaqub
BaySyn: Bayesian Evidence Synthesis for Multi-system Multiomic Integration
275(12)
Rupam Bhattacharyya
Nicholas Henderson
Veerabhadran Baladandayuthapani
Trans-omic Knowledge Transfer Modeling Infers Gut Microbiome Biomarkers of Anti-TNF Resistance in Ulcerative Colitis
287(12)
Alan Trinh
Ran Ran
Douglas K. Brubaker
Multi-treatment Effect Estimation from Biomedical Data
299(12)
Raquel Aoki
Yizhou Chen
Martin Ester
An Approach to Identifying and Quantifying Bias in Biomedical Data
311(12)
M. Clara De Paolis Kaluza
Shantanu Jain
Predrag Radivojac
Multi-objective prioritization of genes for high-throughput functional assays towards improved clinical variant classification
323(12)
Yile Chen
Shantanu Jain
Daniel Zeiberg
Lilia M. Iakoucheva
Sean D. Mooney
Predrag Radivojac
Vikas Pejaver
Acoustic-Linguistic Features for Modeling Neurological Task Score in Alzheimer's
335(12)
Saurav K. Aryal
Howard Prioleau
Legand Burge
PiTE: TCR-epitope Binding Affinity Prediction Pipeline using Transformer-based Sequence Encoder
347(12)
Pengfei Zhang
Seojin Bang
Heewook Lee
Exploiting Domain Knowledge as Causal Independencies in Modeling Gestational Diabetes
359(12)
Saurabh Mathur
Athresh Karanam
Predrag Radivojac
David M. Haas
Kristian Kersting
Sriraam Natarajan
Knowledge-Driven Mechanistic Enrichment of the Preeclampsia Ignorome
371(12)
Tiffany J. Callahan
Adrianne L. Stefanski
Jin-Dong Kim
William A. Baumgartner Jr.
Jordan M. Wyrwa
Lawrence E. Hunter
Development and application of a computable genotype model in the GA4GH Variation Representation Specification
383(12)
Wesley Goar
Lawrence Babb
Srikar Chamala
Melissa Cline
Robert R. Freimuth
Reece K. Hart
Kori Kuzma
Jennifer Lee
Tristan Nelson
Andreas Prlic
Kevin Riehle
Anastasia Smith
Kathryn Stahl
Andrew D. Yates
Heidi L. Rehm
Alex H. Wagner
Predictive modeling using shape statistics for interpretable and robust quality assurance of automated contours in radiation treatment planning
395(12)
Zachary T. Wooten
Cenji Yu
Laurence E. Court
Christine B. Peterson
SALUD: SCALABLE APPLICATIONS OF CLINICAL RISK UTILITY AND PREDICTION
Session Introduction
407(6)
Pankhuri Singhal
Yogasudha Veturi
Renae Judy
Yoson Park
Marijana Vujkovic
Olivia Veatch
Rachel Kember
Shefali Setia Verma
Diversity is key for cross-ancestry transferability of glaucoma genetic risk scores in Hispanic Veterans in the Million Veteran Program
413(12)
Andrea R. Waksmunski
Tyler G. Kinzy
Lauren A. Cruz
Cari L. Nealon
Christopher W. Halladay
Scott A. Anthony
Paul B. Greenberg
Jack M. Sullivan
Wen-Chih Wu
Sudha K. Iyengar
Dana C. Crawford
Neal S. Peachey
Jessica N. Cooke Bailey
V.A. Million Veteran
Predictive models for abdominal aortic aneurysms using polygenic scores and PheWAS-derived risk factors
425(12)
Jacklyn N. Hellwege
Chad Dorn
Marguerite R. Irvin
Nita A. Limdi
James Cimino
T. Mark Beasley
Philip S. Tsao
Scott M. Damrauer
Dan M. Roden
Digna R. Velez Edwards
Wei-Qi Wei
Todd L. Edwards
Quantifying factors that affect polygenic risk score performance across diverse ancestries and age groups for body mass Index
437(12)
Daniel Hui
Brenda Xiao
Ozan Dikilitas
Robert R. Freimuth
Marguerite R. Irvin
Gail P. Jarvik
Leah Kottyan
Iftikhar Kullo
Nita A. Limdi
Cong Liu
Yuan Luo
Bahram Namjou
Megan J. Puckelwartz
Daniel Schaid
Hemant Tiwari
Wei-Qi Wei
Shefali Verma
Dokyoon Kim
Marylyn D. Ritchie
Polygenic resilience score may be sensitive to preclinical Alzheimer's disease changes
449(12)
Jaclyn M. Eissman
Greyson Wells
Omair A. Khan
Dandan Liu
Vladislav A. Petyuk
Katherine A. Gifford
Logan Dumitrescu
Angela L. Jefferson
Timothy J. Hohman
TOWARDS ETHICAL BIOMEDICAL INFORMATICS: LEARNING FROM OLELO NOEAU, HAWAIIAN PROVERBS
Session Introduction
461(11)
Peter Y. Washington
Noelani Puniwai
Martina Kamaka
Gamze Giirsoy
Nicholas Tatonetti
Steven E. Brenner
Dennis P. Wall
The Effect of AI-Enhanced Breast Imaging on the Caring Radiologist-Patient Relationship
472(12)
Arianna Bunnell
Sharon Rowe
Federated Learning for Sparse Bayesian Models with Applications to Electronic Health Records and Genomics
484(12)
Brian Kidd
Kunbo Wang
Yanxun Xu
Yang Ni
Not in my AT. Moral engagement and disengagement in health care AI development
496(11)
Ariadne A. Nichol
Meghan C. Halley
Carole A. Federico*
Mildred K. Cho
Pamela L. Sankar
VdistCox: Vertically distributed Cox proportional hazards model with hyperparameter optimization
507(12)
Ji Ae Park
Yu Rang Park
Algorithmic Fairness in the Roberts Court Era
519(12)
Jennifer K. Wagner
WORKSHOPS
Accessing clinical-grade genomic classification data through the ClinGen Data Platform
531(5)
Karen P. Dalton
Heidi L. Rehm
Matt W. Wright
Mark E. Mandell
Kilannin Krysiak
Lawrence Babb
Kevin Riehle
Tristan Nelson
Alex H. Wagner
Biomedical research in the Cloud: Considerations for researchers and organizations moving to (or adding) cloud computing resources
536(5)
Michelle Holko
Nick Weber
Chris Lunt
Steven E. Brenner
High-Performance Computing Meets High-Performance Medicine
541(5)
Anurag Verma
Jennifer Huffman
Ali Torkamani
Ravi Madduri
Risk prediction: Methods, Challenges, and Opportunities
546(3)
Ruowang Li
Rui Duan
Lifang He
Jason H. Moore
Single Cell Spatial Biology for Precision Cancer Medicine
549(6)
Andrew J. Gentles
Ajit J. Nirmal
Laura M. Heiser
Emma Lundberg
Aaron M. Newman
ERRATUM
Separating Clinical and Subclinical Depression by Big Data Informed Structural Vulnerability Index and Its impact on Cognition: ENIGMA Dot Product
555
Peter Kochunov
Yizhou Ma
Kathryn S. Hatch
Si Gao
Lianne Schmaal
Neda Jahanshad
Paul M. Thompson
Bhim M. Adhikari
Heather Bruce
Joshua Chiappelli
Andrew Van der vaart
Eric L. Goldwaser
Aris Sotiras
Tianzhou Ma
Shuo Chen
Thomas E. Nichols
L. Elliot Hong