Justin Silverman

Assistant Professor of Information Sciences and Technology

Justin Silverman

Research Summary

Statistical methods for the analysis of biomedical data (or any other interesting data/questions)

Huck Graduate Students

Huck Affiliations

Links

Publication Tags

Microbiota Dna Severe Acute Respiratory Syndrome Milk Coronavirus Datasets Phylogeny Gastrointestinal Microbiome Microorganisms Microbiome Nucleic Acids Permeability Logistics Pediatric Obesity Fluid England Human Influenza Fecal Microbiota Transplantation Fluids Non Alcoholic Fatty Liver Disease Food Methodology Genes Insulin Resistance Nucleic Acid

Most Recent Papers

Multiomics implicate gut microbiota in altered lipid and energy metabolism in Parkinson’s disease

Pedro A.B. Pereira, Drupad K. Trivedi, Justin Silverman, Ilhan Cem Duru, Lars Paulin, Petri Auvinen, Filip Scheperjans, 2022, npj Parkinson's Disease

Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T Processes

Justin D. Silverman, Kimberly Roche, Zachary C. Holmes, Lawrence A. David, Sayan Mukherjee, 2022, Journal of Machine Learning Research

Measuring and mitigating PCR bias in microbiota datasets

Justin D. Silverman, Rachael J. Bloom, Sharon Jiang, Heather K. Durand, Eric Dallow, Sayan Mukherjee, Lawrence A. David, 2021, PLoS Computational Biology

DNA Extraction and Host Depletion Methods Significantly Impact and Potentially Bias Bacterial Detection in a Biological Fluid

Erika Ganda, Kristen Beck, Niina Haiminen, J Silverman, Ban Kawas, Brittany Cronk, Renee Anderson, Laura Goodman, Martin Wiedmann, 2021, mSystems

Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in England

Nicholas G. Davies, Sam Abbott, Rosanna C. Barnard, Christopher I. Jarvis, Adam J. Kucharski, James D. Munday, Carl A.B. Pearson, Timothy W. Russell, Damien C. Tully, Alex D. Washburne, Tom Wenseleers, Amy Gimma, William Waites, Kerry L.M. Wong, Kevin van Zandvoort, Justin D. Silverman, Karla Diaz-Ordaz, Ruth Keogh, Rosalind M. Eggo, Sebastian Funk, Mark Jit, Katherine E. Atkins, W. John Edmunds, 2021, Science

The Pediatric Obesity Microbiome and Metabolism Study (POMMS): Methods, Baseline Data, and Early Insights

Jessica R. McCann, Nathan A. Bihlmeyer, Kimberly Roche, Cameron Catherine, Jayanth Jawahar, Lydia Coulter Kwee, Noelle E. Younge, Justin Silverman, Olga Ilkayeva, Charles Sarria, Alexandra Zizzi, Janet Wootton, Lisa Poppe, Paul Anderson, Michelle Arlotto, Zhengzheng Wei, Joshua A. Granek, Raphael H. Valdivia, Lawrence A. David, Holly K. Dressman, Christopher B. Newgard, Svati H. Shah, Patrick C. Seed, John F. Rawls, Sarah C. Armstrong, 2021, Obesity on p. 569-578

Using influenza surveillance networks to estimate state-specific prevalence of SARS-CoV-2 in the United States

Justin D. Silverman, Nathaniel Hupert, Alex D. Washburne, 2020, Science Translational Medicine

How deadly is the coronavirus? The true fatality rate is tricky to find, but researchers are getting closer.

Justin Silverman, Alex Washburne, 2020, The Conversation

Short-chain fatty acid production by gut microbiota from children with obesity differs according to prebiotic choice and bacterial community composition

Zachary C. Holmes, Justin D. Silverman, Holly K. Dressman, Zhengzheng Wei, Eric P. Dallow, Sarah C. Armstrong, Patrick C. Seed, John F. Rawls, Lawrence A. David, 2020, mBio on p. 1-15

Allogenic Fecal Microbiota Transplantation in Patients with Nonalcoholic Fatty Liver Disease Improves Abnormal Small Intestinal Permeability: A Randomized Control Trial

Laura Craven, Adam Rahman, Seema Nair Parvathy, Melanie Beaton, Justin Silverman, Karim Qumosani, Irene Hramiak, Rob Hegele, Tisha Joy, Jon Meddings, Brad Urquhart, Ruth Harvie, Charles McKenzie, Kelly Summers, Gregor Reid, Jeremy P. Burton, Michael Silverman, 2020, American Journal of Gastroenterology on p. 1055-1065

Most-Cited Papers

Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in England

Nicholas G. Davies, Sam Abbott, Rosanna C. Barnard, Christopher I. Jarvis, Adam J. Kucharski, James D. Munday, Carl A.B. Pearson, Timothy W. Russell, Damien C. Tully, Alex D. Washburne, Tom Wenseleers, Amy Gimma, William Waites, Kerry L.M. Wong, Kevin van Zandvoort, Justin D. Silverman, Karla Diaz-Ordaz, Ruth Keogh, Rosalind M. Eggo, Sebastian Funk, Mark Jit, Katherine E. Atkins, W. John Edmunds, 2021, Science

Establishing microbial composition measurement standards with reference frames

James T. Morton, Clarisse Marotz, Alex Washburne, Justin Silverman, Livia S. Zaramela, Anna Edlund, Karsten Zengler, Rob Knight, 2019, Nature Communications

A phylogenetic transform enhances analysis of compositional microbiota data

Justin D. Silverman, Alex D. Washburne, Sayan Mukherjee, Lawrence A. David, 2017, eLife

Allogenic Fecal Microbiota Transplantation in Patients with Nonalcoholic Fatty Liver Disease Improves Abnormal Small Intestinal Permeability: A Randomized Control Trial

Laura Craven, Adam Rahman, Seema Nair Parvathy, Melanie Beaton, Justin Silverman, Karim Qumosani, Irene Hramiak, Rob Hegele, Tisha Joy, Jon Meddings, Brad Urquhart, Ruth Harvie, Charles McKenzie, Kelly Summers, Gregor Reid, Jeremy P. Burton, Michael Silverman, 2020, American Journal of Gastroenterology on p. 1055-1065

Phylogenetic factorization of compositional data yields lineage-level associations in microbiome datasets

Alex D. Washburne, Justin D. Silverman, Jonathan W. Leff, Dominic J. Bennett, John L. Darcy, Sayan Mukherjee, Noah Fierer, Lawrence A. David, 2017, PeerJ

Using influenza surveillance networks to estimate state-specific prevalence of SARS-CoV-2 in the United States

Justin D. Silverman, Nathaniel Hupert, Alex D. Washburne, 2020, Science Translational Medicine

Human gut microbiota predicts Ssusceptibility to vibrio cholerae infection

Firas S. Midani, Ana A. Weil, Fahima Chowdhury, Yasmin A. Begum, Ashraful I. Khan, Meti D. Debela, Heather K. Durand, Aspen T. Reese, Sai N. Nimmagadda, Justin D. Silverman, Crystal N. Ellis, Edward T. Ryan, Stephen B. Calderwood, Jason B. Harris, Firdausi Qadri, Lawrence A. David, Regina C. Larocque, 2018, Journal of Infectious Diseases on p. 645-653

Phylofactorization: a graph partitioning algorithm to identify phylogenetic scales of ecological data

Alex D. Washburne, Justin D. Silverman, James T. Morton, Daniel J. Becker, Daniel Crowley, Sayan Mukherjee, Lawrence A. David, Raina K. Plowright, 2019, Ecological Monographs

Dynamic linear models guide design and analysis of microbiota studies within artificial human guts

Justin D. Silverman, Heather K. Durand, Rachael J. Bloom, Sayan Mukherjee, Lawrence A. David, 2018, Microbiome

Naught all zeros in sequence count data are the same

Justin D. Silverman, Kimberly Roche, Sayan Mukherjee, Lawrence A. David, 2020, Computational and Structural Biotechnology Journal on p. 2789-2798