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Sayan Mukherjee, PhD
Sayan Mukherjee, PhD
919-684-4608
sayan@stat.duke.edu
Website
Sayan Mukherjee, PhD
Professor of Statistical Science
Statistical Science
Mathematics
Computer Science
Biostatistics and Bioinformatics
Information Initiative at Duke
Research interests
Statistical and computational methodology in genetics, cancer biology, metagenomics, and morphometrics;
Bayesian methodology for high-dimensional and complex data;
Machine learning algorithms for the analysis of massive biological data;
Integration of statistical inference with differential geometry and algebraic topology;
Stochastic topology;
Discrete Hodge theory;
Inference in dynamical systems.
Recent Publications
Likelihood ratio statistics for gene set enrichment in Alzheimer's disease pathways.
Bryan, J; Mandan, A; Kamat, G; Gottschalk, WK; Badea, A; Adams, KJ; Thompson, JW; Colton, CA; Mukherjee, S; Lutz, MW; Alzheimer's Disease Neuroimaging Initiative,
April 1, 2021
Impact of anxiety and depression on progression to glaucoma among glaucoma suspects.
Berchuck, S; Jammal, A; Mukherjee, S; Somers, T; Medeiros, FA
August 29, 2020
Naught all zeros in sequence count data are the same.
Silverman, JD; Roche, K; Mukherjee, S; David, LA
January 1, 2020
Predicting Clinical Outcomes in Glioblastoma: An Application of Topological and Functional Data Analysis
Crawford, L; Monod, A; Chen, AX; Mukherjee, S; Rabadán, R
January 1, 2019
The Geometry of Synchronization Problems and Learning Group Actions
Gao, T; Brodzki, J; Mukherjee, S
January 1, 2019
Statistical methods in social science research
Mukherjee, SP; Sinha, BK; Chattopadhyay, AK
October 5, 2018
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