Susmita Datta

22 papers B 1Journal 19Unranked 2
YearRankTypeTitle / Venue / Authors
2020 J jnl
A sparse Bayesian factor model for the construction of gene co-expression networks from single-cell RNA sequencing count data.
BMC Bioinform.
Michael Sekula, Jeremy T. Gaskins, Susmita Datta
2018 J jnl
A Combined PLS and Negative Binomial Regression Model for Inferring Association Networks from Next-Generation Sequencing Count Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Maiju Pesonen, Jaakko Nevalainen, Steven Potter, Somnath Datta, Susmita Datta
2017 J jnl
A novel statistical approach for identification of the master regulator transcription factor.
BMC Bioinform.
Sinjini Sikdar, Susmita Datta
2016 J jnl
Improving protein identification from tandem mass spectrometry data by one-step methods and integrating data from other platforms.
Briefings Bioinform.
Sinjini Sikdar, Ryan Gill, Susmita Datta
2014 J jnl
A multi-loss super regression learner (MSRL) with application to survival prediction using proteomics.
Comput. Stat.
Jasmit S. Shah, Somnath Datta, Susmita Datta
2013 J jnl
Predicting Patient Survival from Proteomic Profile using Mass Spectrometry Data: An Empirical Study.
Commun. Stat. Simul. Comput.
Farida Mostajabi, Somnath Datta, Susmita Datta
2013 J jnl
svapls: an R package to correct for hidden factors of variability in gene expression studies.
BMC Bioinform.
Sutirtha Chakraborty, Somnath Datta, Susmita Datta
2012 J jnl
Surrogate variable analysis using partial least squares (SVA-PLS) in gene expression studies.
Bioinform.
Sutirtha Chakraborty, Somnath Datta, Susmita Datta
2011 J jnl
Statistical Inference Methods for Sparse Biological Time Series Data.
BMC Syst. Biol.
Juliet Ndukum, Luís L. Fonseca, Helena Santos, Eberhard O. Voit, Susmita Datta
2010 J jnl
A statistical framework for differential network analysis from microarray data.
BMC Bioinform.
Ryan Gill, Somnath Datta, Susmita Datta
2010 J jnl
An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data.
BMC Bioinform.
Susmita Datta, Vasyl Pihur, Somnath Datta
2009 J jnl
RankAggreg, an R package for weighted rank aggregation.
BMC Bioinform.
Vasyl Pihur, Susmita Datta, Somnath Datta
2008 J jnl
Reconstruction of genetic association networks from microarray data: a partial least squares approach.
Bioinform.
Vasyl Pihur, Somnath Datta, Susmita Datta
2007 J jnl
Weighted rank aggregation of cluster validation measures: a Monte Carlo cross-entropy approach.
Bioinform.
Vasyl Pihur, Susmita Datta, Somnath Datta
2006 — conf
Biologically Supervised Hierarchical Clustering Algorithms for Gene Expression Data.
EMBC
Grzegorz M. Boratyn, Susmita Datta, Somnath Datta
2006 J jnl
Evaluation of clustering algorithms for gene expression data.
BMC Bioinform.
Susmita Datta, Somnath Datta
2006 J jnl
Methods for evaluating clustering algorithms for gene expression data using a reference set of functional classes.
BMC Bioinform.
Susmita Datta, Somnath Datta
2006 — conf
Validation Measures for Clustering Algorithms Incorporating Biological Information.
IMSCCS (1)
Susmita Datta, Somnath Datta
2005 J jnl
Empirical Bayes screening of many p-values with applications to microarray studies.
Bioinform.
Susmita Datta, Somnath Datta
2004 B conf
An Empirical Bayes Adjustment to Multiple p-values for the Detection of Differentially Expressed Genes in Microarray Experiments.
APBC
Somnath Datta, Susmita Datta
2004 J jnl
An empirical bayes adjustment to increase the sensitivity of detecting differentially expressed genes in microarray experiments.
Bioinform.
Susmita Datta, Glen A. Satten, Dale J. Benos, Jiazeng Xia, Martin J. Heslin, Somnath Datta
2003 J jnl
Comparisons and validation of statistical clustering techniques for microarray gene expression data.
Bioinform.
Susmita Datta, Somnath Datta