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Susmita Datta

Showing results (1-10 of 121) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|May 14, 2013
Feature selection and machine learning with mass spectrometry dataSusmita Datta
Methods in Molecular Biology (Clifton, N.J.)|December 4, 2009
Feature selection and machine learning with mass spectrometry dataSusmita Datta, Vasyl Pihur
BMC Bioinformatics|September 2, 2006
Methods for evaluating clustering algorithms for gene expression data using a reference set of functional classesSusmita Datta, Somnath Datta
Biorxiv : the Preprint Server for Biology|April 17, 2023
asmbPLS: Adaptive Sparse Multi-block Partial Least Square for Survival Prediction using Multi-Omics DataRunzhi Zhang, Susmita Datta
Bioinformatics Advances|July 23, 2024
TWCOM: an R package for inference of cell-cell communication on spatially resolved transcriptomics dataDongyuan Wu, Susmita Datta
Bioinformatics (Oxford, England)|February 5, 2005
Empirical Bayes screening of many p-values with applications to microarray studiesSusmita Datta, Somnath Datta
Genome Biology|February 24, 2009
Computational biology touches all bases. A report of the 6th Annual Rocky Mountain Bioinformatics Conference, Aspen, USA, 4-7 December 2008Susmita Datta, Somnath Datta
Frontiers in Genetics|December 9, 2024
asmbPLS: biomarker identification and patient survival prediction with multi-omics dataRunzhi Zhang, Susmita Datta
BMC Bioinformatics|February 3, 2017
A novel statistical approach for identification of the master regulator transcription factorSinjini Sikdar, Susmita Datta
Genes|May 27, 2023
Adaptive Sparse Multi-Block PLS Discriminant Analysis: An Integrative Method for Identifying Key Biomarkers from Multi-Omics DataRunzhi Zhang, Susmita Datta
Pageof 13

Showing results (1-10 of 121) with videos related to

Sort By:
Pageof 13
Methods in Molecular Biology (Clifton, N.J.)|May 14, 2013
Feature selection and machine learning with mass spectrometry dataSusmita Datta
Methods in Molecular Biology (Clifton, N.J.)|December 4, 2009
Feature selection and machine learning with mass spectrometry dataSusmita Datta, Vasyl Pihur
BMC Bioinformatics|September 2, 2006
Methods for evaluating clustering algorithms for gene expression data using a reference set of functional classesSusmita Datta, Somnath Datta
Biorxiv : the Preprint Server for Biology|April 17, 2023
asmbPLS: Adaptive Sparse Multi-block Partial Least Square for Survival Prediction using Multi-Omics DataRunzhi Zhang, Susmita Datta
Bioinformatics Advances|July 23, 2024
TWCOM: an R package for inference of cell-cell communication on spatially resolved transcriptomics dataDongyuan Wu, Susmita Datta
Bioinformatics (Oxford, England)|February 5, 2005
Empirical Bayes screening of many p-values with applications to microarray studiesSusmita Datta, Somnath Datta
Genome Biology|February 24, 2009
Computational biology touches all bases. A report of the 6th Annual Rocky Mountain Bioinformatics Conference, Aspen, USA, 4-7 December 2008Susmita Datta, Somnath Datta
Frontiers in Genetics|December 9, 2024
asmbPLS: biomarker identification and patient survival prediction with multi-omics dataRunzhi Zhang, Susmita Datta
BMC Bioinformatics|February 3, 2017
A novel statistical approach for identification of the master regulator transcription factorSinjini Sikdar, Susmita Datta
Genes|May 27, 2023
Adaptive Sparse Multi-Block PLS Discriminant Analysis: An Integrative Method for Identifying Key Biomarkers from Multi-Omics DataRunzhi Zhang, Susmita Datta
Pageof 13