Somnath Datta

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 10

Top Topics

Regression Model

Top Venues

Comput. Stat. Data Anal.

Publications

Seungjun Ahn, Somnath Datta
Differential network connectivity analysis for microbiome data adjusted for clinical covariates using jackknife pseudo-values. BMC Bioinform. 25 (1) (2024)
Seungjun Ahn, Somnath Datta
SOHPIE: statistical approach via pseudo-value information and estimation for differential network analysis of microbiome data. Bioinform. 40 (1) (2024)
Seungjun Ahn, Tyler Grimes, Somnath Datta
A pseudo-value regression approach for differential network analysis of co-expression data. BMC Bioinform. 24 (1) (2023)
Mary Gregg, Somnath Datta, Douglas Lorenz
htestClust: A Package for Marginal Inference of Clustered Data Under Informative Cluster Size. R J. 14 (2) (2022)
Tyler Grimes, Somnath Datta
SeqNet: An R Package for Generating Gene-Gene Networks and Simulating RNA-Seq Data. J. Stat. Softw. 98 (1) (2021)
Yichen Chen, Somnath Datta
Adjustments of multi-sample U-statistics to right censored data and confounding covariates. Comput. Stat. Data Anal. 135 (2019)
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)
Somnath Datta, María del Carmen Pardo, Thomas H. Scheike, Kam Chuen Yuen
Special issue on advances in survival analysis. Comput. Stat. Data Anal. 93 (2016)
Luís Meira-Machado, Jacobo de Uña-Álvarez, Somnath Datta
Nonparametric estimation of conditional transition probabilities in a non-Markov illness-death model. Comput. Stat. 30 (2) (2015)
Maiying Kong, Sheng Xu, Steven M. Levy, Somnath Datta
GEE type inference for clustered zero-inflated negative binomial regression with application to dental caries. Comput. Stat. Data Anal. 85 (2015)
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)
Jie Fan, Somnath Datta
Fitting marginal accelerated failure time models to clustered survival data with potentially informative cluster size. Comput. Stat. Data Anal. 55 (12) (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)
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
Standardization and denoising algorithms for mass spectra to classify whole-organism bacterial specimens. Bioinform. 20 (17) (2004)
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)
Glen A. Satten, Somnath Datta
The S-U algorithm for missing data problems. Comput. Stat. 15 (2) (2000)