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Carl Kadie

Showing results (1-10 of 29) with videos related to

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Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|August 19, 2007
Leveraging information across HLA alleles/supertypes improves epitope predictionDavid Heckerman, Carl Kadie, Jennifer Listgarten
Plos One|July 6, 2007
Leveraging hierarchical population structure in discrete association studiesJonathan Carlson, Carl Kadie, Simon Mallal, et al.
Plos One|July 19, 2011
Conditional random fields for fast, large-scale genome-wide association studiesJim C Huang, Christopher Meek, Carl Kadie, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 3, 2010
Correction for hidden confounders in the genetic analysis of gene expressionJennifer Listgarten, Carl Kadie, Eric E Schadt, et al.
Plos Computational Biology|October 17, 2007
A statistical framework for modeling HLA-dependent T cell response dataJennifer Listgarten, Nicole Frahm, Carl Kadie, et al.
Bioinformatics (Oxford, England)|July 29, 2006
Learning MHC I--peptide bindingNebojsa Jojic, Manuel Reyes-Gomez, David Heckerman, et al.
Plos One|May 16, 2012
Learning transcriptional regulatory relationships using sparse graphical modelsXiang Zhang, Wei Cheng, Jennifer Listgarten, et al.
Bioinformatics (Oxford, England)|July 31, 2014
Greater power and computational efficiency for kernel-based association testing of sets of genetic variantsChristoph Lippert, Jing Xiang, Danilo Horta, et al.
Scientific Reports|November 13, 2014
Further improvements to linear mixed models for genome-wide association studiesChristian Widmer, Christoph Lippert, Omer Weissbrod, et al.
Plos Computational Biology|April 9, 2008
Statistical resolution of ambiguous HLA typing dataJennifer Listgarten, Zabrina Brumme, Carl Kadie, et al.
Pageof 3

Showing results (1-10 of 29) with videos related to

Sort By:
Pageof 3
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|August 19, 2007
Leveraging information across HLA alleles/supertypes improves epitope predictionDavid Heckerman, Carl Kadie, Jennifer Listgarten
Plos One|July 6, 2007
Leveraging hierarchical population structure in discrete association studiesJonathan Carlson, Carl Kadie, Simon Mallal, et al.
Plos One|July 19, 2011
Conditional random fields for fast, large-scale genome-wide association studiesJim C Huang, Christopher Meek, Carl Kadie, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 3, 2010
Correction for hidden confounders in the genetic analysis of gene expressionJennifer Listgarten, Carl Kadie, Eric E Schadt, et al.
Plos Computational Biology|October 17, 2007
A statistical framework for modeling HLA-dependent T cell response dataJennifer Listgarten, Nicole Frahm, Carl Kadie, et al.
Bioinformatics (Oxford, England)|July 29, 2006
Learning MHC I--peptide bindingNebojsa Jojic, Manuel Reyes-Gomez, David Heckerman, et al.
Plos One|May 16, 2012
Learning transcriptional regulatory relationships using sparse graphical modelsXiang Zhang, Wei Cheng, Jennifer Listgarten, et al.
Bioinformatics (Oxford, England)|July 31, 2014
Greater power and computational efficiency for kernel-based association testing of sets of genetic variantsChristoph Lippert, Jing Xiang, Danilo Horta, et al.
Scientific Reports|November 13, 2014
Further improvements to linear mixed models for genome-wide association studiesChristian Widmer, Christoph Lippert, Omer Weissbrod, et al.
Plos Computational Biology|April 9, 2008
Statistical resolution of ambiguous HLA typing dataJennifer Listgarten, Zabrina Brumme, Carl Kadie, et al.
Pageof 3