VIDEOS: 3rd Workshop on Statistical and Algorithmic Challenges in Microbiome Data Analysis – Day 2
Tuesday, April 2
Senthil Kumar Muthiah: A Scale Normalization Strategy For The Correction Of Compositional Bias In Sparse Sequencing Count Data Read More
Pratheepa Jeganathan: Bayesian Inference For Removing Contamination In Microbiome Studies Read More
Benjamin Callahan: Consistent And Correctable Bias In Metagenomic Sequencing Measurements Read More
Greg Gloor : A Probabilistic Compositional Effect Size Metric For Use In Microbiome Datasets Read More
David Clausen : Detecting and Correcting for Differential Detection Effects in 16S Data Read More
Alex Washburne: Phylofactorization - Identifying Lineages Of Interest In Microbiome Datasets Read More
Javier Rivera-Pinto: Selbal: An R Package For The Identification Of Microbial Signatures Read More
Lu Huang: Balance Regression In Microbiome Studies Using Stochastic Search Read More
M. Luz Calle: Weighted Kernel Machine Regression For Microbiome Compositional Data Analysis Read More
Susan P. Holmes: Challenges In The Analyses Of Multidomain Longitudinal Data: Layered Solutions. Read More
Christian Diener: Near-Causal Inference With Time-Ordered Association Testing For Multiomic Time Series Read More
Antonie Bodein: A Generic Multivariate Framework For The Integration Of Microbiome Longitudinal Studies With Other Data Types Read More
Joshua Harrison: A Bayesian, Probabilistic Method For Analyzing Multinomially Distributed Data. Read More
Jiyuan Hu: Joint Modeling Of Longitudinal Microbiome And Time-To-Event Data With Application To A Type I Diabetes Study Read More
Justin Silverman: Scalable Bayesian Multinomial Logistic-Normal Models For The Analysis Of Microbiome Data Read More
Travis Gibson: Robust And Scalable Models Of Microbiome Dynamics Read More
Cameron Martino: Elucidating Microbial Spatiotemporal Dynamics With Compositional Tensor Factorization Read More
Evan Bolyen: QIIME 2 Enables Robust And Reproducible Bioinformatics Read More
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