Somnath Datta

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clValid , an R package for cluster validation

Guy N. Brock, Vasyl Pihur, Susmita Datta, 2008 .

Applications of Feature Selection and Regression Techniques in Materials Design: A Tutorial

Somnath Datta, Partha Dey, Joe Bible, 2016 .

Reconstruction of genetic association networks from microarray data: a partial least squares approach

Vasyl Pihur, Susmita Datta, Somnath Datta, 2008, Bioinform..

Adjustments of multi-sample U-statistics to right censored data and confounding covariates

Somnath Datta, Yichen Chen, S. Datta, 2019, Comput. Stat. Data Anal..

Weighted rank aggregation of cluster validation measures: a Monte Carlo cross-entropy approach

Vasyl Pihur, Susmita Datta, Somnath Datta, 2007, Bioinform..

Surrogate variable analysis using partial least squares (SVA-PLS) in gene expression studies

Susmita Datta, Somnath Datta, Sutirtha Chakraborty, 2012, Bioinform..

An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data

Vasyl Pihur, Susmita Datta, Somnath Datta, 2010, BMC Bioinformatics.

A Combined PLS and Negative Binomial Regression Model for Inferring Association Networks from Next-Generation Sequencing Count Data

Susmita Datta, Somnath Datta, Jaakko Nevalainen, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Statistical Analyses of Next Generation Sequence Data: A Partial Overview.

Susmita Datta, Somnath Datta, Seongho Kim, 2010, Journal of proteomics & bioinformatics.

Predicting Patient Survival from Microarray Data by Accelerated Failure Time Modeling Using Partial Least Squares and LASSO

Susmita Datta, Somnath Datta, Jennifer Le-Rademacher, 2007, Biometrics.

Special issue on advances in survival analysis

Somnath Datta, Kam Chuen Yuen, Thomas H. Scheike, 2016, Comput. Stat. Data Anal..

dna: An R package for differential network analysis

Susmita Datta, Somnath Datta, Ryan Gill, 2014, Bioinformation.

GEE type inference for clustered zero-inflated negative binomial regression with application to dental caries

Somnath Datta, Sheng Xu, Steven M. Levy, 2015, Comput. Stat. Data Anal..

Fitting marginal accelerated failure time models to clustered survival data with potentially informative cluster size

Somnath Datta, Jie Fan, S. Datta, 2011, Comput. Stat. Data Anal..

Validation Measures for Clustering Algorithms Incorporating Biological Information

Susmita Datta, Somnath Datta, S. Datta, 2006, First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06).

Microarray Data Analysis

Susmita Datta, Somnath Datta, Rudolph Parrish, 2007 .

An Empirical Bayes Adjustment to Multiple p-values for the Detection of Differentially Expressed Genes in Microarray Experiments

Susmita Datta, Somnath Datta, 2004, APBC.

An empirical bayes adjustment to increase the sensitivity of detecting differentially expressed genes in microarray experiments

Susmita Datta, Somnath Datta, Glen A. Satten, 2004, Bioinform..

Incorporation of biological knowledge into distance for clustering genes

Susmita Datta, Somnath Datta, Grzegorz M Boratyn, 2007, Bioinformation.

Methods for evaluating clustering algorithms for gene expression data using a reference set of functional classes

Susmita Datta, Somnath Datta, M. Bodén, 2006, BMC Bioinformatics.

Inference on the marginal distribution of clustered data with informative cluster size

Hannu Oja, Somnath Datta, Jaakko Nevalainen, 2014, Statistical papers.

Predicting Patient Survival from Proteomic Profile using Mass Spectrometry Data: An Empirical Study

Susmita Datta, Somnath Datta, Farida Mostajabi, 2013, Commun. Stat. Simul. Comput..

Flexible semi-parametric regression of state occupational probabilities in a multistate model with right-censored data

Somnath Datta, K B Kulasekera, Chathura Siriwardhana, 2017, Lifetime Data Analysis.

Integrating gene regulatory pathways into differential network analysis of gene expression data

Somnath Datta, Tyler Grimes, S Steven Potter, 2019, Scientific Reports.

A probability based method for selecting the optimal personalized treatment from multiple treatments

Somnath Datta, K B Kulasekera, Meng Zhao, 2019, Statistical methods in medical research.

A statistical framework for differential network analysis from microarray data

Susmita Datta, Somnath Datta, Ryan Gill, 2010, BMC Bioinformatics.

RankAggreg, an R package for weighted rank aggregation

Vasyl Pihur, Susmita Datta, Somnath Datta, 2009, BMC Bioinformatics.

CONSISTENCY OF THE MLE FOR A GENERAL SEQUENTIAL DESIGN PROBLEM

Somnath Datta, S. Datta, 1995 .

Evaluation of clustering algorithms for gene expression data

Susmita Datta, Somnath Datta, S. Datta, 2006, BMC Bioinformatics.

Estimation of Stage Occupation Probabilities in Multistage Models

Susmita Datta, Somnath Datta, Glen A. Satten, 2003 .

Differential Network Analysis [R package dna version 2.1-2]

Susmita Datta, Somnath Datta, Ryan Gill, 2020 .

Empirical Bayes screening of many p-values with applications to microarray studies

Susmita Datta, Somnath Datta, S. Datta, 2005, Bioinform..

Standardization and denoising algorithms for mass spectra to classify whole-organism bacterial specimens

Somnath Datta, George M. Carlone, Glen A. Satten, 2004, Bioinform..

Comparisons and validation of statistical clustering techniques for microarray gene expression data

Susmita Datta, Somnath Datta, S. Datta, 2003, Bioinform..

svapls: an R package to correct for hidden factors of variability in gene expression studies

Susmita Datta, Somnath Datta, Sutirtha Chakraborty, 2013, BMC Bioinformatics.

SeqNet: An R Package for Generating Gene-Gene Networks and Simulating RNA-Seq Data

Somnath Datta, Tyler Grimes, S. Datta, 2021, J. Stat. Softw..

Informatics-aided bandgap engineering for solar materials

Somnath Datta, Mahendra K. Sunkara, Jacek B. Jasinski, 2014 .

First-order random coefficient integer-valued autoregressive processes

Somnath Datta, I. V. Basawa, Haitao Zheng, 2007 .

Predicting survival times for neuroblastoma patients using RNA-seq expression profiles

Susmita Datta, Somnath Datta, Tyler Grimes, 2018, Biology Direct.

Statistical analysis of next generation sequencing date

Somnath Datta, Dan Nettleton, D. Nettleton, 2014 .

Classification of Breast Cancer versus Normal Samples from Mass Spectrometry Profiles Using Linear Discriminant Analysis of Important Features Selected by Random Forest

Somnath Datta, S. Datta, 2008, Statistical applications in genetics and molecular biology.

A Signed‐Rank Test for Clustered Data

Somnath Datta, Glen A Satten, G. Satten, 2008, Biometrics.

Marginal regression models for clustered count data based on zero‐inflated Conway–Maxwell–Poisson distribution with applications

Somnath Datta, Hyoyoung Choo-Wosoba, S. Levy, 2016, Biometrics.

Finding common genes in multiple cancer types through meta-analysis of microarray experiments: a rank aggregation approach.

Susmita Datta, Somnath Datta, S. Datta, 2008, Genomics.

Marginal estimation for multi‐stage models: waiting time distributions and competing risks analyses

Somnath Datta, Glen A Satten, G. Satten, 2002, Statistics in medicine.

Inference for pth‐order random coefficient integer‐valued autoregressive processes

Somnath Datta, I. V. Basawa, Haitao Zheng, 2006 .

Rank-Sum Tests for Clustered Data

Somnath Datta, Glen A. Satten, G. Satten, 2005 .

Inference for marginal linear models for clustered longitudinal data with potentially informative cluster sizes

Somnath Datta, Ming Wang, Maiying Kong, 2011, Statistical methods in medical research.

Inference Based on Imputed Failure Times for the Proportional Hazards Model with Interval-Censored Data

Somnath Datta, Glen A. Satten, G. Satten, 1998 .

Consistency and Asymptotic Normality of Estimators in a Proportional Hazards Model with Interval Censoring and Left Truncation

Somnath Datta, Glen A. Satten, G. Satten, 2000 .

Limit theory and bootstrap for explosive and partially explosive autoregression

Somnath Datta, S. Datta, 1995 .

Informatics guided discovery of surface structure-chemistry relationships in catalytic nanoparticles.

Somnath Datta, Madhu Menon, Scott Broderick, 2014, The Journal of chemical physics.

Estimating the marginal survival function in the presence of time dependent covariates

James M. Robins, Somnath Datta, Glen A. Satten, 2001 .

Marginal association measures for clustered data

Somnath Datta, Susan J Harkema, S. Harkema, 2011, Statistics in medicine.

The Kaplan–Meier Estimator as an Inverse-Probability-of-Censoring Weighted Average

Somnath Datta, Glen A Satten, G. Satten, 2001, The American statistician.

Dynamic longitudinal evaluation of the utility of the Berg Balance Scale in individuals with motor incomplete spinal cord injury.

Somnath Datta, Susan J Harkema, S. Harkema, 2012, Archives of physical medicine and rehabilitation.

msSurv: An R Package for Nonparametric Estimation of Multistate Models

Somnath Datta, Guy N. Brock, Nicole Ferguson, 2012 .

Electric and Magnetic Fields from a Circular Coil Using Elliptic Integrals

Somnath Datta, S. Datta, 2007 .

Differential network analysis in human cancer research.

Susmita Datta, Somnath Datta, Ryan Gill, 2014, Current pharmaceutical design.

Estimating the mean life time using right censored data

Somnath Datta, S. Datta, 2005 .

A Bootstrap Approach to Nonparametric Regression for Right Censored Data

Somnath Datta, Gang Li, Gang Li, 2001 .

Non‐parametric regression in clustered multistate current status data with informative cluster size

Somnath Datta, Dipankar Bandyopadhyay, Ling Lan, 2017, Statistica Neerlandica.

Bootstrap Inference for a First-Order Autoregression with Positive Innovations

Somnath Datta, William P. McCormick, W. McCormick, 1995 .

One sample goodness of fit tests in presence of shape restrictions on the hazard rate function

Somnath Datta, Desale Habtzghi, S. Datta, 2012, Sankhya B.

Validity of the Aalen–Johansen estimators of stage occupation probabilities and Nelson–Aalen estimators of integrated transition hazards for non-Markov models

Somnath Datta, Glen A. Satten, G. Satten, 2001 .

Marginal Analyses of Clustered Data When Cluster Size Is Informative

Somnath Datta, Glen A Satten, G. Satten, 2003, Biometrics.