Somnath Datta

Orcid: 0000-0003-4381-1842

According to our database1, Somnath Datta authored at least 31 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Differential network connectivity analysis for microbiome data adjusted for clinical covariates using jackknife pseudo-values.
BMC Bioinform., December, 2024

SOHPIE: statistical approach via pseudo-value information and estimation for differential network analysis of microbiome data.
Bioinform., January, 2024

2023
A pseudo-value regression approach for differential network analysis of co-expression data.
BMC Bioinform., 2023

2022
htestClust: A Package for Marginal Inference of Clustered Data Under Informative Cluster Size.
R J., 2022

2021
SeqNet: An R Package for Generating Gene-Gene Networks and Simulating RNA-Seq Data.
J. Stat. Softw., 2021

2019
Adjustments of multi-sample U-statistics to right censored data and confounding covariates.
Comput. Stat. Data Anal., 2019

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

2016
Special issue on advances in survival analysis.
Comput. Stat. Data Anal., 2016

2015
Nonparametric estimation of conditional transition probabilities in a non-Markov illness-death model.
Comput. Stat., 2015

GEE type inference for clustered zero-inflated negative binomial regression with application to dental caries.
Comput. Stat. Data Anal., 2015

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
Fitting marginal accelerated failure time models to clustered survival data with potentially informative cluster size.
Comput. Stat. Data Anal., 2011

2010
A statistical framework for differential network analysis from microarray data.
BMC Bioinform., 2010

An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data.
BMC Bioinform., 2010

2009
RankAggreg, an R package for weighted rank aggregation.
BMC Bioinform., 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

Evaluation of clustering algorithms for gene expression data.
BMC Bioinform., 2006

Validation Measures for Clustering Algorithms Incorporating Biological Information.
Proceedings of the Interdisciplinary and Multidisciplinary Research in Computer Science, 2006

Biologically Supervised Hierarchical Clustering Algorithms for Gene Expression Data.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005
Empirical Bayes screening of many p-values with applications to microarray studies.
Bioinform., 2005

2004
Standardization and denoising algorithms for mass spectra to classify whole-organism bacterial specimens.
Bioinform., 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

Marginal Analyses of Multistage Data.
Proceedings of the Advances in Survival Analysis, 2003

2000
The S-U algorithm for missing data problems.
Comput. Stat., 2000


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