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Bioinformatics (Oxford, England)
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February 22, 2014
MRHMMs: multivariate regression hidden Markov models and the variantS
Yeonok Lee, Debashis Ghosh, Ross C Hardison, et al.
Medical Image Analysis
|
October 6, 2023
Learning with limited target data to detect cells in cross-modality images
Fuyong Xing, Xinyi Yang, Toby C Cornish, et al.
Statistics in Medicine
|
July 18, 2022
A calibration approach to transportability and data-fusion with observational data
Kevin P Josey, Fan Yang, Debashis Ghosh, et al.
Nucleic Acids Research
|
January 14, 2012
Comprehensive literature review and statistical considerations for GWAS meta-analysis
Ferdouse Begum, Debashis Ghosh, George C Tseng, et al.
Human Vaccines & Immunotherapeutics
|
May 23, 2019
What can we learn about influenza infection and vaccination from transcriptomics?
Suchitra Rao, Debashis Ghosh, Edwin J Asturias, et al.
Biometrics
|
June 15, 2011
Meta-analysis for surrogacy: accelerated failure time models and semicompeting risks modeling
Debashis Ghosh, Jeremy M G Taylor, Daniel J Sargent
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|
July 2, 2019
Kung Faux Pandas Simplifying privacy protection
James King, Seth Russell, Tellen D Bennett, et al.
BMC Bioinformatics
|
September 29, 2007
A latent variable approach for meta-analysis of gene expression data from multiple microarray experiments
Hyungwon Choi, Ronglai Shen, Arul M Chinnaiyan, et al.
Frontiers in Neuroscience
|
July 11, 2022
Causal Inference in Radiomics: Framework, Mechanisms, and Algorithms
Debashis Ghosh, Emily Mastej, Rajan Jain, et al.
Experimental Eye Research
|
May 8, 2016
Fold conservation and proteolysis in zebrafish IRBP structure: Clues to possible enzymatic function?
Debashis Ghosh, Karen M Haswell, Molly Sprada, et al.
Page
of 37
Search research articles
Search
Showing results (121-130 of 365) with videos related to
Sort By:
Page
of 37
Bioinformatics (Oxford, England)
|
February 22, 2014
MRHMMs: multivariate regression hidden Markov models and the variantS
Yeonok Lee, Debashis Ghosh, Ross C Hardison, et al.
Medical Image Analysis
|
October 6, 2023
Learning with limited target data to detect cells in cross-modality images
Fuyong Xing, Xinyi Yang, Toby C Cornish, et al.
Statistics in Medicine
|
July 18, 2022
A calibration approach to transportability and data-fusion with observational data
Kevin P Josey, Fan Yang, Debashis Ghosh, et al.
Nucleic Acids Research
|
January 14, 2012
Comprehensive literature review and statistical considerations for GWAS meta-analysis
Ferdouse Begum, Debashis Ghosh, George C Tseng, et al.
Human Vaccines & Immunotherapeutics
|
May 23, 2019
What can we learn about influenza infection and vaccination from transcriptomics?
Suchitra Rao, Debashis Ghosh, Edwin J Asturias, et al.
Biometrics
|
June 15, 2011
Meta-analysis for surrogacy: accelerated failure time models and semicompeting risks modeling
Debashis Ghosh, Jeremy M G Taylor, Daniel J Sargent
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|
July 2, 2019
Kung Faux Pandas Simplifying privacy protection
James King, Seth Russell, Tellen D Bennett, et al.
BMC Bioinformatics
|
September 29, 2007
A latent variable approach for meta-analysis of gene expression data from multiple microarray experiments
Hyungwon Choi, Ronglai Shen, Arul M Chinnaiyan, et al.
Frontiers in Neuroscience
|
July 11, 2022
Causal Inference in Radiomics: Framework, Mechanisms, and Algorithms
Debashis Ghosh, Emily Mastej, Rajan Jain, et al.
Experimental Eye Research
|
May 8, 2016
Fold conservation and proteolysis in zebrafish IRBP structure: Clues to possible enzymatic function?
Debashis Ghosh, Karen M Haswell, Molly Sprada, et al.
Page
of 37