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David L Gold
Jing Wang
Kevin R Coombes

Showing results (1-10 of 25,737) with videos related to

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American Journal of Pharmacogenomics : Genomics-Related Research in Drug Development and Clinical Practice|August 5, 2005
Inter-gene correlation on oligonucleotide arrays: how much does normalization matter?David L Gold, Jing Wang, Kevin R Coombes
Briefings in Bioinformatics|November 2, 2006
Enrichment analysis in high-throughput genomics - accounting for dependency in the NULLDavid L Gold, Kevin R Coombes, Jing Wang, et al.
Bioinformatics (Oxford, England)|February 17, 2005
Applications of beta-mixture models in bioinformaticsYuan Ji, Chunlei Wu, Ping Liu, et al.
Cancer Informatics|September 1, 2009
The bimodality index: a criterion for discovering and ranking bimodal signatures from cancer gene expression profiling dataJing Wang, Sijin Wen, W Fraser Symmans, et al.
Oncogene|December 3, 2003
A comprehensive assessment of p53-responsive genes following adenoviral-p53 gene transfer in Bcl-2-expressing prostate cancer cellsKevin B Spurgers, Kevin R Coombes, Raymond E Meyn, et al.
BMC Bioinformatics|January 17, 2013
Sources of variation in false discovery rate estimation include sample size, correlation, and inherent differences between groupsJiexin Zhang, Kevin R Coombes
Bioinformatics (Oxford, England)|September 28, 2012
integIRTy: a method to identify genes altered in cancer by accounting for multiple mechanisms of regulation using item response theoryPan Tong, Kevin R Coombes
The Journal of Biological Chemistry|June 27, 2006
Identification of cell cycle regulatory genes as principal targets of p53-mediated transcriptional repressionKevin B Spurgers, David L Gold, Kevin R Coombes, et al.
Proteomics|September 16, 2003
A comprehensive approach to the analysis of matrix-assisted laser desorption/ionization-time of flight proteomics spectra from serum samplesKeith A Baggerly, Jeffrey S Morris, Jing Wang, et al.
Methods in Molecular Biology (Clifton, N.J.)|September 9, 2011
Use of reverse phase protein microarrays to study protein expression in leukemia: technical and methodological lessons learnedSteven M Kornblau, Kevin R Coombes
Pageof 2,574

Showing results (1-10 of 25,737) with videos related to

Sort By:
Pageof 2,574
American Journal of Pharmacogenomics : Genomics-Related Research in Drug Development and Clinical Practice|August 5, 2005
Inter-gene correlation on oligonucleotide arrays: how much does normalization matter?David L Gold, Jing Wang, Kevin R Coombes
Briefings in Bioinformatics|November 2, 2006
Enrichment analysis in high-throughput genomics - accounting for dependency in the NULLDavid L Gold, Kevin R Coombes, Jing Wang, et al.
Bioinformatics (Oxford, England)|February 17, 2005
Applications of beta-mixture models in bioinformaticsYuan Ji, Chunlei Wu, Ping Liu, et al.
Cancer Informatics|September 1, 2009
The bimodality index: a criterion for discovering and ranking bimodal signatures from cancer gene expression profiling dataJing Wang, Sijin Wen, W Fraser Symmans, et al.
Oncogene|December 3, 2003
A comprehensive assessment of p53-responsive genes following adenoviral-p53 gene transfer in Bcl-2-expressing prostate cancer cellsKevin B Spurgers, Kevin R Coombes, Raymond E Meyn, et al.
BMC Bioinformatics|January 17, 2013
Sources of variation in false discovery rate estimation include sample size, correlation, and inherent differences between groupsJiexin Zhang, Kevin R Coombes
Bioinformatics (Oxford, England)|September 28, 2012
integIRTy: a method to identify genes altered in cancer by accounting for multiple mechanisms of regulation using item response theoryPan Tong, Kevin R Coombes
The Journal of Biological Chemistry|June 27, 2006
Identification of cell cycle regulatory genes as principal targets of p53-mediated transcriptional repressionKevin B Spurgers, David L Gold, Kevin R Coombes, et al.
Proteomics|September 16, 2003
A comprehensive approach to the analysis of matrix-assisted laser desorption/ionization-time of flight proteomics spectra from serum samplesKeith A Baggerly, Jeffrey S Morris, Jing Wang, et al.
Methods in Molecular Biology (Clifton, N.J.)|September 9, 2011
Use of reverse phase protein microarrays to study protein expression in leukemia: technical and methodological lessons learnedSteven M Kornblau, Kevin R Coombes
Pageof 2,574