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Susmita Datta

Showing results (11-20 of 121) with videos related to

Pageof 13
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Genes|June 26, 2026
Identifying Single-Cell Expression Quantitative Trait Loci Using a Bootstrap Penalized Hurdle ModelDongyuan Wu, Susmita Datta
Bioinformatics (Oxford, England)|March 4, 2003
Comparisons and validation of statistical clustering techniques for microarray gene expression dataSusmita Datta, Somnath Datta
BMC Bioinformatics|January 16, 2007
Evaluation of clustering algorithms for gene expression dataSusmita Datta, Somnath Datta
Biology Direct|July 26, 2019
Identification of city specific important bacterial signature for the MetaSUB CAMDA challenge microbiome dataAlejandro R Walker, Susmita Datta
Journal of Statistical Computation and Simulation|December 9, 2017
Temporal Prediction of Future State Occupation in a Multistate Model from High-Dimensional Baseline Covariates via Pseudo-Value RegressionSandipan Dutta, Susmita Datta, Somnath Datta
Plos One|November 1, 2017
EAMA: Empirically adjusted meta-analysis for large-scale simultaneous hypothesis testing in genomic experimentsSinjini Sikdar, Somnath Datta, Susmita Datta
Frontiers in Genetics|May 23, 2022
Unraveling T Cell Responses for Long Term Protection of SARS-CoV-2 InfectionDongyuan Wu, Runzhi Zhang, Susmita Datta
Family Medicine|November 15, 2021
Flexible Nasal Endoscopic Procedures in Family Medicine: Indications and EffectivenessJohn Malaty, Dongyuan Wu, Susmita Datta
Frontiers in Genetics|February 21, 2022
Single-Cell Differential Network Analysis with Sparse Bayesian Factor ModelsMichael Sekula, Jeremy Gaskins, Susmita Datta
Biometrics|April 23, 2019
Detection of differentially expressed genes in discrete single-cell RNA sequencing data using a hurdle model with correlated random effectsMichael Sekula, Jeremy Gaskins, Susmita Datta
Pageof 13

Showing results (11-20 of 121) with videos related to

Sort By:
Pageof 13
Genes|June 26, 2026
Identifying Single-Cell Expression Quantitative Trait Loci Using a Bootstrap Penalized Hurdle ModelDongyuan Wu, Susmita Datta
Bioinformatics (Oxford, England)|March 4, 2003
Comparisons and validation of statistical clustering techniques for microarray gene expression dataSusmita Datta, Somnath Datta
BMC Bioinformatics|January 16, 2007
Evaluation of clustering algorithms for gene expression dataSusmita Datta, Somnath Datta
Biology Direct|July 26, 2019
Identification of city specific important bacterial signature for the MetaSUB CAMDA challenge microbiome dataAlejandro R Walker, Susmita Datta
Journal of Statistical Computation and Simulation|December 9, 2017
Temporal Prediction of Future State Occupation in a Multistate Model from High-Dimensional Baseline Covariates via Pseudo-Value RegressionSandipan Dutta, Susmita Datta, Somnath Datta
Plos One|November 1, 2017
EAMA: Empirically adjusted meta-analysis for large-scale simultaneous hypothesis testing in genomic experimentsSinjini Sikdar, Somnath Datta, Susmita Datta
Frontiers in Genetics|May 23, 2022
Unraveling T Cell Responses for Long Term Protection of SARS-CoV-2 InfectionDongyuan Wu, Runzhi Zhang, Susmita Datta
Family Medicine|November 15, 2021
Flexible Nasal Endoscopic Procedures in Family Medicine: Indications and EffectivenessJohn Malaty, Dongyuan Wu, Susmita Datta
Frontiers in Genetics|February 21, 2022
Single-Cell Differential Network Analysis with Sparse Bayesian Factor ModelsMichael Sekula, Jeremy Gaskins, Susmita Datta
Biometrics|April 23, 2019
Detection of differentially expressed genes in discrete single-cell RNA sequencing data using a hurdle model with correlated random effectsMichael Sekula, Jeremy Gaskins, Susmita Datta
Pageof 13