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Frontiers in Genetics|February 21, 2022
Single-Cell Differential Network Analysis with Sparse Bayesian Factor ModelsMichael Sekula, Jeremy Gaskins, Susmita DattaBiometrics|April 23, 2019
Detection of differentially expressed genes in discrete single-cell RNA sequencing data using a hurdle model with correlated random effectsMichael Sekula, Jeremy Gaskins, Susmita DattaBioinformation|August 11, 2020
COVID-19: Reduced Lung Function and Increased Psycho-emotional StressDongyuan Wu, Dorothy Ellis, Susmita DattaBMC Bioinformatics|August 20, 2020
A sparse Bayesian factor model for the construction of gene co-expression networks from single-cell RNA sequencing count dataMichael Sekula, Jeremy Gaskins, Susmita DattaBMC Bioinformatics|February 23, 2010
A statistical framework for differential network analysis from microarray dataRyan Gill, Somnath Datta, Susmita DattaBioinformation|June 7, 2017
optCluster: An R Package for Determining the Optimal Clustering AlgorithmMichael Sekula, Somnath Datta, Susmita DattaGenomics|June 21, 2008
Finding common genes in multiple cancer types through meta-analysis of microarray experiments: a rank aggregation approachV Pihur, Somnath Datta, Susmita DattaCurrent Pharmaceutical Design|March 28, 2013
Differential network analysis in human cancer researchRyan Gill, Somnath Datta, Susmita DattaBioinformation|May 18, 2011
Meta analysis of Chronic Fatigue Syndrome through integration of clinical, gene expression, SNP and proteomic dataVasyl Pihur, Somnath Datta, Susmita DattaWiley Interdisciplinary Reviews. Computational Statistics|August 29, 2022
SAREV: A review on statistical analytics of single-cell RNA sequencing dataDorothy Ellis, Dongyuan Wu, Susmita DattaPageof 21