Susmita Datta

Publication Activity (10 Years)

Years Active: 2003-2020
Publications (10 Years): 4

Top Topics

Mass Spectrometry Data

Regression Model

Gene Expression

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Briefings Bioinform.

Publications

Michael Sekula, Jeremy Gaskins, Susmita Datta
A sparse Bayesian factor model for the construction of gene co-expression networks from single-cell RNA sequencing count data. BMC Bioinform. 21 (1) (2020)
Maiju Pesonen, Jaakko Nevalainen, Steven Potter, Somnath Datta, Susmita Datta
A Combined PLS and Negative Binomial Regression Model for Inferring Association Networks from Next-Generation Sequencing Count Data. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (3) (2018)
Sinjini Sikdar, Susmita Datta
A novel statistical approach for identification of the master regulator transcription factor. BMC Bioinform. 18 (1) (2017)
Sinjini Sikdar, Ryan Gill, Susmita Datta
Improving protein identification from tandem mass spectrometry data by one-step methods and integrating data from other platforms. Briefings Bioinform. 17 (2) (2016)
Jasmit Shah, Somnath Datta, Susmita Datta
A multi-loss super regression learner (MSRL) with application to survival prediction using proteomics. Comput. Stat. 29 (6) (2014)
Sutirtha Chakraborty, Somnath Datta, Susmita Datta
svapls: an R package to correct for hidden factors of variability in gene expression studies. BMC Bioinform. 14 (2013)
Farida Mostajabi, Somnath Datta, Susmita Datta
Predicting Patient Survival from Proteomic Profile using Mass Spectrometry Data: An Empirical Study. Commun. Stat. Simul. Comput. 42 (3) (2013)
Sutirtha Chakraborty, Somnath Datta, Susmita Datta
Surrogate variable analysis using partial least squares (SVA-PLS) in gene expression studies. Bioinform. 28 (6) (2012)
Juliet Ndukum, Luís L. Fonseca, Helena Santos, Eberhard O. Voit, Susmita Datta
Statistical Inference Methods for Sparse Biological Time Series Data. BMC Syst. Biol. 5 (2011)
Ryan Gill, Somnath Datta, Susmita Datta
A statistical framework for differential network analysis from microarray data. BMC Bioinform. 11 (2010)
Susmita Datta, Vasyl Pihur, Somnath Datta
An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data. BMC Bioinform. 11 (2010)
Vasyl Pihur, Susmita Datta, Somnath Datta
RankAggreg, an R package for weighted rank aggregation. BMC Bioinform. 10 (2009)
Vasyl Pihur, Somnath Datta, Susmita Datta
Reconstruction of genetic association networks from microarray data: a partial least squares approach. Bioinform. 24 (4) (2008)
Vasyl Pihur, Susmita Datta, Somnath Datta
Weighted rank aggregation of cluster validation measures: a Monte Carlo cross-entropy approach. Bioinform. 23 (13) (2007)
Susmita Datta, Somnath Datta
Methods for evaluating clustering algorithms for gene expression data using a reference set of functional classes. BMC Bioinform. 7 (2006)
Susmita Datta, Somnath Datta
Validation Measures for Clustering Algorithms Incorporating Biological Information. IMSCCS (1) (2006)
Susmita Datta, Somnath Datta
Evaluation of clustering algorithms for gene expression data. BMC Bioinform. 7 (S-4) (2006)
Grzegorz M. Boratyn, Susmita Datta, Somnath Datta
Biologically Supervised Hierarchical Clustering Algorithms for Gene Expression Data. EMBC (2006)
Susmita Datta, Somnath Datta
Empirical Bayes screening of many p-values with applications to microarray studies. Bioinform. 21 (9) (2005)
Susmita Datta, Glen A. Satten, Dale J. Benos, Jiazeng Xia, Martin J. Heslin, Somnath Datta
An empirical bayes adjustment to increase the sensitivity of detecting differentially expressed genes in microarray experiments. Bioinform. 20 (2) (2004)
Somnath Datta, Susmita Datta
An Empirical Bayes Adjustment to Multiple p-values for the Detection of Differentially Expressed Genes in Microarray Experiments. APBC (2004)
Susmita Datta, Somnath Datta
Comparisons and validation of statistical clustering techniques for microarray gene expression data. Bioinform. 19 (4) (2003)