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Justin D Silverman

Showing results (11-20 of 37) with videos related to

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Computational and Structural Biotechnology Journal|October 26, 2020
Naught all zeros in sequence count data are the sameJustin D Silverman, Kimberly Roche, Sayan Mukherjee, et al.
Elife|February 16, 2017
A phylogenetic transform enhances analysis of compositional microbiota dataJustin D Silverman, Alex D Washburne, Sayan Mukherjee, et al.
Plos One|February 2, 2023
Race, employment, and the pandemic: An exploration of covariate explanations of COVID-19 case fatality rate varianceChristopher Griffin, Ray Block, Justin D Silverman, et al.
Journal of Machine Learning Research : JMLR|April 10, 2026
Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T ProcessesJustin D Silverman, Kimberly Roche, Zachary C Holmes, et al.
Microbiome|November 29, 2018
Correction to: Dynamic linear models guide design and analysis of microbiota studies within artificial human gutsJustin D Silverman, Heather K Durand, Rachael J Bloom, et al.
Microbiome|November 14, 2018
Dynamic linear models guide design and analysis of microbiota studies within artificial human gutsJustin D Silverman, Heather K Durand, Rachael J Bloom, et al.
Frontiers in Physiology|October 7, 2022
Metformin modulates the gut microbiome in broiler breeder hensEmily Van Syoc, Evelyn Weaver, Connie J Rogers, et al.
Plos Computational Biology|June 28, 2019
Modeling the temporal dynamics of the gut microbial community in adults and infantsLiat Shenhav, Ori Furman, Leah Briscoe, et al.
Medrxiv : the Preprint Server for Health Sciences|February 26, 2024
From Pre-test and Post-test Probabilities to Medical Decision MakingMichelle Pistner Nixon, Farhani Momotaz, Claire Smith, et al.
BMC Medical Informatics and Decision Making|July 29, 2024
From pre-test and post-test probabilities to medical decision makingMichelle Pistner Nixon, Farhani Momotaz, Claire Smith, et al.
Pageof 4

Showing results (11-20 of 37) with videos related to

Sort By:
Pageof 4
Computational and Structural Biotechnology Journal|October 26, 2020
Naught all zeros in sequence count data are the sameJustin D Silverman, Kimberly Roche, Sayan Mukherjee, et al.
Elife|February 16, 2017
A phylogenetic transform enhances analysis of compositional microbiota dataJustin D Silverman, Alex D Washburne, Sayan Mukherjee, et al.
Plos One|February 2, 2023
Race, employment, and the pandemic: An exploration of covariate explanations of COVID-19 case fatality rate varianceChristopher Griffin, Ray Block, Justin D Silverman, et al.
Journal of Machine Learning Research : JMLR|April 10, 2026
Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T ProcessesJustin D Silverman, Kimberly Roche, Zachary C Holmes, et al.
Microbiome|November 29, 2018
Correction to: Dynamic linear models guide design and analysis of microbiota studies within artificial human gutsJustin D Silverman, Heather K Durand, Rachael J Bloom, et al.
Microbiome|November 14, 2018
Dynamic linear models guide design and analysis of microbiota studies within artificial human gutsJustin D Silverman, Heather K Durand, Rachael J Bloom, et al.
Frontiers in Physiology|October 7, 2022
Metformin modulates the gut microbiome in broiler breeder hensEmily Van Syoc, Evelyn Weaver, Connie J Rogers, et al.
Plos Computational Biology|June 28, 2019
Modeling the temporal dynamics of the gut microbial community in adults and infantsLiat Shenhav, Ori Furman, Leah Briscoe, et al.
Medrxiv : the Preprint Server for Health Sciences|February 26, 2024
From Pre-test and Post-test Probabilities to Medical Decision MakingMichelle Pistner Nixon, Farhani Momotaz, Claire Smith, et al.
BMC Medical Informatics and Decision Making|July 29, 2024
From pre-test and post-test probabilities to medical decision makingMichelle Pistner Nixon, Farhani Momotaz, Claire Smith, et al.
Pageof 4