Susmita Datta
According to our database1,
Susmita Datta
authored at least 22 papers
between 2003 and 2020.
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Bibliography
2020
A sparse Bayesian factor model for the construction of gene co-expression networks from single-cell RNA sequencing count data.
BMC Bioinform., 2020
2018
A Combined PLS and Negative Binomial Regression Model for Inferring Association Networks from Next-Generation Sequencing Count Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
2017
A novel statistical approach for identification of the master regulator transcription factor.
BMC Bioinform., 2017
2016
Improving protein identification from tandem mass spectrometry data by one-step methods and integrating data from other platforms.
Briefings Bioinform., 2016
2014
A multi-loss super regression learner (MSRL) with application to survival prediction using proteomics.
Comput. Stat., 2014
2013
Predicting Patient Survival from Proteomic Profile using Mass Spectrometry Data: An Empirical Study.
Commun. Stat. Simul. Comput., 2013
svapls: an R package to correct for hidden factors of variability in gene expression studies.
BMC Bioinform., 2013
2012
Surrogate variable analysis using partial least squares (SVA-PLS) in gene expression studies.
Bioinform., 2012
2011
BMC Syst. Biol., 2011
2010
BMC Bioinform., 2010
An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data.
BMC Bioinform., 2010
2009
2008
Reconstruction of genetic association networks from microarray data: a partial least squares approach.
Bioinform., 2008
2007
Weighted rank aggregation of cluster validation measures: a Monte Carlo cross-entropy approach.
Bioinform., 2007
2006
Methods for evaluating clustering algorithms for gene expression data using a reference set of functional classes.
BMC Bioinform., 2006
Proceedings of the Interdisciplinary and Multidisciplinary Research in Computer Science, 2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
2005
Bioinform., 2005
2004
An empirical bayes adjustment to increase the sensitivity of detecting differentially expressed genes in microarray experiments.
Bioinform., 2004
An Empirical Bayes Adjustment to Multiple p-values for the Detection of Differentially Expressed Genes in Microarray Experiments.
Proceedings of the Second Asia-Pacific Bioinformatics Conference (APBC 2004), 2004
2003
Comparisons and validation of statistical clustering techniques for microarray gene expression data.
Bioinform., 2003