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Debashis Ghosh

Showing results (81-90 of 364) with videos related to

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BMC Bioinformatics|April 19, 2015
Kernel approaches for differential expression analysis of mass spectrometry-based metabolomics dataXiang Zhan, Andrew D Patterson, Debashis Ghosh
Statistics in Medicine|January 29, 2015
Penalized regression procedures for variable selection in the potential outcomes frameworkDebashis Ghosh, Yeying Zhu, Donna L Coffman
Peerj. Computer Science|April 5, 2021
Software engineering principles to improve quality and performance of R softwareSeth Russell, Tellen D Bennett, Debashis Ghosh
Biorxiv : the Preprint Server for Biology|March 30, 2023
SMASH: Scalable Method for Analyzing Spatial Heterogeneity of genes in spatial transcriptomics dataSouvik Seal, Benjamin G Bitler, Debashis Ghosh
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 27, 2010
Script recognition--a reviewDebashis Ghosh, Tulika Dube, Adamane P Shivaprasad
BMC Genomics|December 16, 2004
Prognostic meta-signature of breast cancer developed by two-stage mixture modeling of microarray dataRonglai Shen, Debashis Ghosh, Arul M Chinnaiyan
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|February 23, 2010
A double-layered mixture model for the joint analysis of DNA copy number and gene expression dataHyungwon Choi, Zhaohui S Qin, Debashis Ghosh
Journal of Causal Inference|December 1, 2018
A Kernel-Based Metric for Balance AssessmentYeying Zhu, Jennifer S Savage, Debashis Ghosh
Journal of Causal Inference|February 16, 2016
A Boosting Algorithm for Estimating Generalized Propensity Scores with Continuous TreatmentsYeying Zhu, Donna L Coffman, Debashis Ghosh
Statistics in Biosciences|December 8, 2015
An Adaptive Genetic Association Test Using Double Kernel MachinesXiang Zhan, Michael P Epstein, Debashis Ghosh
Pageof 37

Showing results (81-90 of 364) with videos related to

Sort By:
Pageof 37
BMC Bioinformatics|April 19, 2015
Kernel approaches for differential expression analysis of mass spectrometry-based metabolomics dataXiang Zhan, Andrew D Patterson, Debashis Ghosh
Statistics in Medicine|January 29, 2015
Penalized regression procedures for variable selection in the potential outcomes frameworkDebashis Ghosh, Yeying Zhu, Donna L Coffman
Peerj. Computer Science|April 5, 2021
Software engineering principles to improve quality and performance of R softwareSeth Russell, Tellen D Bennett, Debashis Ghosh
Biorxiv : the Preprint Server for Biology|March 30, 2023
SMASH: Scalable Method for Analyzing Spatial Heterogeneity of genes in spatial transcriptomics dataSouvik Seal, Benjamin G Bitler, Debashis Ghosh
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 27, 2010
Script recognition--a reviewDebashis Ghosh, Tulika Dube, Adamane P Shivaprasad
BMC Genomics|December 16, 2004
Prognostic meta-signature of breast cancer developed by two-stage mixture modeling of microarray dataRonglai Shen, Debashis Ghosh, Arul M Chinnaiyan
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|February 23, 2010
A double-layered mixture model for the joint analysis of DNA copy number and gene expression dataHyungwon Choi, Zhaohui S Qin, Debashis Ghosh
Journal of Causal Inference|December 1, 2018
A Kernel-Based Metric for Balance AssessmentYeying Zhu, Jennifer S Savage, Debashis Ghosh
Journal of Causal Inference|February 16, 2016
A Boosting Algorithm for Estimating Generalized Propensity Scores with Continuous TreatmentsYeying Zhu, Donna L Coffman, Debashis Ghosh
Statistics in Biosciences|December 8, 2015
An Adaptive Genetic Association Test Using Double Kernel MachinesXiang Zhan, Michael P Epstein, Debashis Ghosh
Pageof 37