Somnath Datta

31 papers B 1Journal 27Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
Differential network connectivity analysis for microbiome data adjusted for clinical covariates using jackknife pseudo-values.
BMC Bioinform.
Seungjun Ahn, Somnath Datta
2024 J jnl
SOHPIE: statistical approach via pseudo-value information and estimation for differential network analysis of microbiome data.
Bioinform.
Seungjun Ahn, Somnath Datta
2023 J jnl
A pseudo-value regression approach for differential network analysis of co-expression data.
BMC Bioinform.
Seungjun Ahn, Tyler Grimes, Somnath Datta
2022 J jnl
htestClust: A Package for Marginal Inference of Clustered Data Under Informative Cluster Size.
R J.
Mary Gregg, Somnath Datta, Douglas Lorenz
2021 J jnl
SeqNet: An R Package for Generating Gene-Gene Networks and Simulating RNA-Seq Data.
J. Stat. Softw.
Tyler Grimes, Somnath Datta
2019 J jnl
Adjustments of multi-sample U-statistics to right censored data and confounding covariates.
Comput. Stat. Data Anal.
Yichen Chen, Somnath 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
2016 J jnl
Special issue on advances in survival analysis.
Comput. Stat. Data Anal.
Somnath Datta, María del Carmen Pardo, Thomas H. Scheike, Kam Chuen Yuen
2015 J jnl
GEE type inference for clustered zero-inflated negative binomial regression with application to dental caries.
Comput. Stat. Data Anal.
Maiying Kong, Sheng Xu, Steven M. Levy, Somnath Datta
2015 J jnl
Nonparametric estimation of conditional transition probabilities in a non-Markov illness-death model.
Comput. Stat.
Luís Meira-Machado, Jacobo de Uña-Álvarez, Somnath 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
Fitting marginal accelerated failure time models to clustered survival data with potentially informative cluster size.
Comput. Stat. Data Anal.
Jie Fan, Somnath 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
2004 J jnl
Standardization and denoising algorithms for mass spectra to classify whole-organism bacterial specimens.
Bioinform.
Glen A. Satten, Somnath Datta, Hercules Moura, Adrian R. Woolfitt, Maria da G. Carvalho, George M. Carlone, Barun K. De, Antonis Pavlopoulos, John R. Barr
2003 J jnl
Comparisons and validation of statistical clustering techniques for microarray gene expression data.
Bioinform.
Susmita Datta, Somnath Datta
2003 — ch.
Marginal Analyses of Multistage Data.
Advances in Survival Analysis
Glen A. Satten, Somnath Datta
2000 J jnl
The S-U algorithm for missing data problems.
Comput. Stat.
Glen A. Satten, Somnath Datta