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CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Microbiome returned 20 record(s)
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Monday, 07/31/2017
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Composition Estimation from Sparse Count Data via a Regularized Likelihood
Hongzhe Li, University of Pennsylvania; Yuanpei Cao, University of Pennsylvania; Anru Zhang, University of Wisconsin-Madison
10:35 AM
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Metabolite Prediction in the Human Microbiome
Himel Mallick, Harvard University; Eric A. Franzosa, Harvard University; Lauren J. Mclver, Harvard University; Soumya Banerjee, University of Oxford; Alexandra Sirota-Madi, Evelo Biosciences; Aleksandar D. Kostic, Harvard University; Clary B. Clish, Broad Institute; Hera Vlamakis, Broad Institute; Ramnik Xavier, Massachusetts General Hospital; Curtis Huttenhower, Harvard T.H. Chan School of Public Health
2:05 PM
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Group Variable Selection with Compositional Covariates
Anna Plantinga, University of Washington; Michael C. Wu, Fred Hutchinson Cancer Research Center
2:20 PM
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A Robust and Powerful Microbiome-Based Association Test for Survival Traits
Hyunwook Koh, NYU School of Medicine; Huilin Li, New York University
2:25 PM
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A Bayesian Method for Detecting Pairwise Associations in Compositional Data
Emma Schwager, Harvard School of Public Health; Steffen Ventz, University of Rhode Island; Curtis Huttenhower, Harvard T.H. Chan School of Public Health
2:45 PM
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Compositional Mediation Model for Microbiome Study
Michael Sohn; Hongzhe Li, University of Pennsylvania
3:05 PM
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Microbiome Data Classification Under Sampling Zeros
Zachary Kurtz; Christian Müller, Flat Iron Institute, Simons Foundation; Richard Bonneau, Flat Iron Institute, Simons Foundation
3:25 PM
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Tuesday, 08/01/2017
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Adjusting for Overdispersion in Microbiome Data Analysis
Ekaterina Smirnova, University of Montana; Glen Satten, Centers for Disease Control and Prevention
10:35 AM
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Metagenomic Meta-Analysis of Large Data Sets: Tools and Biological Insights
Edoardo Pasolli, University of Trento, CIBIO
10:55 AM
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A Bayesian Mixed-Effects Model for Microbiome Data from Designed Experiments
Neal Grantham, North Carolina State University; Brian Reich, NCSU; Kevin Gross, North Carolina State University
11:15 AM
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Higher Resolution Metagenomics Methods and Their Implication for (Improved) Microbiome Analysis
Paul McMurdie, Whole Biome, Inc.
11:15 AM
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Testing Hypotheses About the Microbiome Using a New Ordination-Based Linear Model
Glen Satten, Centers for Disease Control and Prevention; Yijuan Hu, Emory University
11:55 AM
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Models for Microbial Community Population Structure
Curtis Huttenhower, Harvard T.H. Chan School of Public Health; Emma Schwager, Harvard School of Public Health; Boyu Ren, Harvard T.H. Chan School of Public Health; Eric A Franzosa, Harvard T.H. Chan School of Public Health
2:30 PM
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Wednesday, 08/02/2017
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Agents of Change: a Spatial Multivariate Bayesian Test to Identify Factors That Shape a Microbiome
Susheela Singh, North Carolina State University; Brian Reich, NCSU; Eric Laber, North Carolina State University; Ana-Maria Staicu, North Carolina State University, Department of Statistics; Robert Dunn, North Carolina State University
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Meta-Analysis of Population Heterogeneity in the IBD Gut Microbiome
Siyuan Ma; Curtis Huttenhower, Harvard T.H. Chan School of Public Health
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Better Measurement of the Microbiome by Modeling and Removing Amplified Sequencing Errors
Benjamin John Callahan, North Carolina State University
8:35 AM
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Joint Modeling and Analysis of Microbiome with Other Omics Data
Michael C. Wu, Fred Hutchinson Cancer Research Center
9:00 AM
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Meta-Analysis of Population Heterogeneity in the IBD Gut Microbiome
Siyuan Ma; Curtis Huttenhower, Harvard T.H. Chan School of Public Health
9:45 AM
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A Fast Small-Sample Kernel Independence Test for Microbiome Community-Level Association Analysis
Xiang Zhan, Fred Hutchinson Cancer Research Center; Anna Plantinga, University of Washington; Ni Zhao, Johns Hopkins University; Michael C. Wu, Fred Hutchinson Cancer Research Center
2:45 PM
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