Saptarshi Chakraborty

ORCID

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 10

Top Venues

Biometrics

Statistics in medicine

Neurology

Nature communications

University at Buffalo

University of Florida (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

University at Buffalo Aug 03 2020

United States

Assistant Professor :: Biostatistics

Memorial Sloan Kettering Cancer Center Sep 04 2018 - Aug 02 2020

United States

Postdoctoral Research Fellow :: Epidemiology and Biostatistics

Education History

University of Florida Aug 14 2013 - Aug 15 2018

United States

PHD :: Statistics

Indian Statistical Institute Jul 10 2011 - Jun 10 2013

India

MSC :: Applied Statistics and Data Analysis

Presidency University Kolkata Jul 05 2008 - Jun 05 2011

India

BSC :: Statistcs

Publications

Saptarshi Chakraborty, Zoe Guan, Colin B Begg, Ronglai Shen
Topical hidden genome: discovering latent cancer mutational topics using a Bayesian multilevel context-learning approach. Biometrics 80 (2) (2024)
Saptarshi Chakraborty, Zoe Guan, Colin B Begg, Ronglai Shen
Topical hidden genome: discovering latent cancer mutational topics using a Bayesian multilevel context-learning approach. Biometrics 80 (2) (2024)
Saptarshi Chakraborty, Zoe Guan, Colin B Begg, Ronglai Shen
Topical hidden genome: discovering latent cancer mutational topics using a Bayesian multilevel context-learning approach. Biometrics 80 (2) (2024)
Saptarshi Chakraborty, Zoe Guan, Colin B Begg, Ronglai Shen
Topical hidden genome: discovering latent cancer mutational topics using a Bayesian multilevel context-learning approach. Biometrics 80 (2) (2024)
Saptarshi Chakraborty, Zoe Guan, Colin B Begg, Ronglai Shen
Topical hidden genome: discovering latent cancer mutational topics using a Bayesian multilevel context-learning approach. Biometrics 80 (2) (2024)
Saptarshi Chakraborty, Anran Liu, Robert Ball, Marianthi Markatou
On the use of the likelihood ratio test methodology in pharmacovigilance. Statistics in medicine 41 (27) (2022)
Saptarshi Chakraborty, Tian Lan, Yiider Tseng, Samuel W K Wong
Bayesian analysis of coupled cellular and nuclear trajectories for cell migration. Biometrics (2021)
Saptarshi Chakraborty, Colin B Begg, Ronglai Shen
Using the "Hidden" genome to improve classification of cancer types. Biometrics (2020)
William D Rooney, Yosef A Berlow, William T Triplett, Sean C Forbes, Rebecca J Willcocks, Dah-Jyuu Wang, Ishu Arpan, Harneet Arora, Claudia Senesac, Donovan J Lott, Gihan Tennekoon, Richard Finkel, Barry S Russman, Erika L Finanger, Saptarshi Chakraborty, Elliott O'Brien, Brendan Moloney, Alison Barnard, H Lee Sweeney, Michael J Daniels, Glenn A Walter, Krista Vandenborne
Modeling disease trajectory in Duchenne muscular dystrophy. Neurology 94 (15) (2020)
Saptarshi Chakraborty, Arshi Arora, Colin B Begg, Ronglai Shen
Using somatic variant richness to mine signals from rare variants in the cancer genome. Nature communications 10 (1) (2019)

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Publication Activity (10 Years)

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Saptarshi Chakraborty