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Justin D Silverman
Justin D Silverman
Assistant Professor, Penn State University
Verified email at psu.edu
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Cited by
Cited by
Year
Estimated transmissibility and impact of SARS-CoV-2 lineage B. 1.1. 7 in England
NG Davies, S Abbott, RC Barnard, CI Jarvis, AJ Kucharski, JD Munday, ...
Science 372 (6538), eabg3055, 2021
2792*2021
Establishing microbial composition measurement standards with reference frames
JT Morton, C Marotz, A Washburne, J Silverman, LS Zaramela, A Edlund, ...
Nature communications 10 (1), 2719, 2019
4952019
A phylogenetic transform enhances analysis of compositional microbiota data
JD Silverman, AD Washburne, S Mukherjee, LA David
Elife 6, e21887, 2017
2992017
Allogenic fecal microbiota transplantation in patients with nonalcoholic fatty liver disease improves abnormal small intestinal permeability: a randomized control trial
L Craven, A Rahman, SN Parvathy, M Beaton, J Silverman, K Qumosani, ...
Official journal of the American College of Gastroenterology| ACG 115 (7 …, 2020
2172020
COVID-19 Genomics UK (COG-UK) Consortium. Diaz-Ordaz K, Keogh R, Eggo RM, Funk S, Jit M, Atkins KE, Edmunds WJ. Estimated transmissibility and impact of SARS-CoV-2 lineage B. 1 …
NG Davies, S Abbott, RC Barnard, CI Jarvis, AJ Kucharski, JD Munday, ...
Science 372 (6538), 3055, 2021
1762021
Using influenza surveillance networks to estimate state-specific prevalence of SARS-CoV-2 in the United States
JD Silverman, N Hupert, AD Washburne
Science translational medicine 12 (554), eabc1126, 2020
133*2020
Naught all zeros in sequence count data are the same
JD Silverman, K Roche, S Mukherjee, LA David
Computational and Structural Biotechnology Journal 18, 2789-2798, 2020
1202020
Phylogenetic factorization of compositional data yields lineage-level associations in microbiome datasets
AD Washburne, JD Silverman, JW Leff, DJ Bennett, JL Darcy, ...
PeerJ 5, e2969, 2017
1172017
Dynamic linear models guide design and analysis of microbiota studies within artificial human guts
JD Silverman, HK Durand, RJ Bloom, S Mukherjee, LA David
Microbiome 6 (1), 306597, 2018
792018
Human Gut Microbiota Predicts Susceptibility to Vibrio cholerae Infection
FS Midani, AA Weil, F Chowdhury, YA Begum, AI Khan, MD Debela, ...
The Journal of infectious diseases 218 (4), 645-653, 2018
702018
Short-chain fatty acid production by gut microbiota from children with obesity differs according to prebiotic choice and bacterial community composition
ZC Holmes, JD Silverman, HK Dressman, Z Wei, EP Dallow, ...
MBio 11 (4), 10.1128/mbio. 00914-20, 2020
602020
Phylofactorization: a graph partitioning algorithm to identify phylogenetic scales of ecological data
AD Washburne, JD Silverman, JT Morton, DJ Becker, D Crowley, ...
Ecological Monographs 89 (2), e01353, 2019
602019
Measuring and mitigating PCR bias in microbiota datasets
JD Silverman, RJ Bloom, S Jiang, HK Durand, E Dallow, S Mukherjee, ...
PLoS computational biology 17 (7), e1009113, 2021
572021
Interindividual variation in dietary carbohydrate metabolism by gut bacteria revealed with droplet microfluidic culture
MM Villa, RJ Bloom, JD Silverman, HK Durand, S Jiang, A Wu, EP Dallow, ...
Msystems 5 (3), 10.1128/msystems. 00864-19, 2020
49*2020
Modeling the temporal dynamics of the gut microbial community in adults and infants
L Shenhav, O Furman, L Briscoe, M Thompson, JD Silverman, I Mizrahi, ...
PLoS computational biology 15 (6), e1006960, 2019
482019
Microbiota responses to different prebiotics are conserved within individuals and associated with habitual fiber intake
ZC Holmes, MM Villa, HK Durand, S Jiang, EP Dallow, BL Petrone, ...
Microbiome 10 (1), 114, 2022
402022
Bayesian multinomial logistic normal models through marginally latent matrix-T processes
JD Silverman, K Roche, ZC Holmes, LA David, S Mukherjee
Journal of Machine Learning Research 23 (7), 1-42, 2022
362022
The Pediatric Obesity Microbiome and Metabolism Study (POMMS): methods, baseline data, and early insights
JR McCann, NA Bihlmeyer, K Roche, C Catherine, J Jawahar, LC Kwee, ...
Obesity 29 (3), 569-578, 2021
232021
DNA extraction and host depletion methods significantly impact and potentially bias bacterial detection in a biological fluid
E Ganda, KL Beck, N Haiminen, JD Silverman, B Kawas, BD Cronk, ...
Msystems 6 (3), 10.1128/msystems. 00619-21, 2021
222021
Statistical considerations in the design and analysis of longitudinal microbiome studies
JD Silverman, L Shenhav, E Halperin, S Mukherjee, LA David
BioRxiv, 448332, 2018
162018
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Articles 1–20