Contributed Papers

Latest Research in Genomics and Microbiome with a Hint of Bayesian

Sun, Aug 3, 4:00 PM - 5:50 PM Room CC-205C Music City Center

Biometrics Section

About this session

This session will showcase latest genomics, microbiome, metabolics, and sequencing research with more Bayesian methodogy incorporated into these research areas being presented.

7 Presentations

A Generalized Framework for Multi-Level Image Data via Multivariate Log Gaussian Cox Processes

4:05 PM - 4:20 PM

Co-authors: Shuwan Wang, Shuwan Wang, Suman Majumder (University of Missouri), Brent Coull (Harvard T.H. Chan School of Public Health), Jessica Mark Welch (The Forsyth Institute), Jacqueline Starr (Channing Division of Network Medicine, Brigham and Women's Hospital), Kyu Ha Lee (Harvard T.H. Chan School of Public Health)

Microbiome Biofilm Image Cross-pair Correlation Log Gaussian Cox Process Multivariate Point Process Spatial Ecology

Assessment of Bayesian Hierarchical Covariance Structures for Modeling Spatial Protein Imaging Data

4:20 PM - 4:35 PM

Co-authors: Chase Sakitis (Children's Mercy), Alex Soupir (Biostatistics and Bioinformatics Shared Resource, Moffitt Cancer Center), Chase Sakitis (Children's Mercy), Mary Townsend (Division of Oncological Sciences, Knight Cancer Institute Oregon Health and Science University), Jose Laborde (Moffitt Cancer Center), Courtney Johnson (Emory University), Andrew Lawson (Medical University of South Carolina, College of Medicine), Joellen Schildkraut (Emory University), Shelley Tworoger (Moffitt Cancer Center), Kathryn Terry (Brigham and Women’s Hospital and Harvard Medical School), Lauren Peres (Moffitt Cancer Center), Brooke Fridley (Children's Mercy)

Bayesian beta-binomial model covariance structures hierarchical spatial protein imaging data tumor immune microenvironment

Bayesian Group Shrinkage model to Identify the Key Genera in Microbiome-Metabolite Relation Dynamics

4:35 PM - 4:50 PM

Co-authors: Sounak Chakraborty (University of Missouri-Columbia), Priyam Das (Virginia Commonwealth University), Sounak Chakraborty (University of Missouri-Columbia), Tanujit Dey (Brigham and Women's Hospital, Harvard University), Christine Peterson (University of Texas MD Anderson Cancer Center)

Bayesian penalized regression,Gibbs sampling Scalable high-dimensional models Microbiome-metabolites dynamics Colorectal cancer.

Bayesian Regularization of Tweedie Family: Discovering Omics Data Associations

4:50 PM - 5:05 PM

Co-authors: Ali Taheriyoun (George Washington University), Ali Taheriyoun (George Washington University), Ali Rahnavard (The George Washington University)

Bayesian lasso compound Poisson distribution generalized linear mixed model longitudinal omics data Tweedie family

Genome-Wide Variants Significantly Contribute to Longitudinal Phenotype Dynamics

5:05 PM - 5:20 PM

Co-authors: Pei Zhang (University of Maryland, College Park), Pei Zhang (University of Maryland, College Park), Jianxin Shi, Paul Albert (National Cancer Institute)

AI-REML algorithm truncation REHE method heritability PSA level large-scale studies

Improved Bayesian Graphical Models for Omics Data

5:20 PM - 5:35 PM

Co-authors: Lisa Bramer (Pacific Northwest National Laboratory), David Degnan (Pacific Northwest National Laboratory), Lisa Bramer (Pacific Northwest National Laboratory), Erik VonKaenel, Moses Obiri (Pacific Northwest National Laboratory), Daniel Adrian (Grand Valley State University)

graphical model Bayesian omics data

Robust Bayesian Graphical Regression Models for Assessing Tumor Heterogeneity in Proteomic Networks

5:35 PM - 5:50 PM

Co-authors: Tsung-Hung Yao (The University of Texas MD Anderson Cancer Center), Tsung-Hung Yao (The University of Texas MD Anderson Cancer Center)

Bayesian graphical models Cancer Conditional sign independence Covariate-dependent graphs Protein-protein interactions