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David Heckerman

Showing results (11-20 of 111) with videos related to

Pageof 12
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Plos One|July 6, 2007
Leveraging hierarchical population structure in discrete association studiesJonathan Carlson, Carl Kadie, Simon Mallal, et al.
Nature Methods|February 10, 2015
Accurate liability estimation improves power in ascertained case-control studiesOmer Weissbrod, Christoph Lippert, Dan Geiger, 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.
Nature Methods|January 28, 2014
Epigenome-wide association studies without the need for cell-type compositionJames Zou, Christoph Lippert, David Heckerman, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 11, 2018
Ensembles of Lasso Screening RulesSeunghak Lee, Nico Gornitz, Eric P Xing, et al.
Bioinformatics (Oxford, England)|July 28, 2009
PhyloDet: a scalable visualization tool for mapping multiple traits to large evolutionary treesBongshin Lee, Lev Nachmanson, George Robertson, et al.
Bioinformatics (Oxford, England)|July 29, 2006
Learning MHC I--peptide bindingNebojsa Jojic, Manuel Reyes-Gomez, David Heckerman, et al.
Nature Methods|June 7, 2012
Improved linear mixed models for genome-wide association studiesJennifer Listgarten, Christoph Lippert, Carl M Kadie, et al.
Scientific Reports|May 10, 2013
The benefits of selecting phenotype-specific variants for applications of mixed models in genomicsChristoph Lippert, Gerald Quon, Eun Yong Kang, et al.
Nature Methods|September 6, 2011
FaST linear mixed models for genome-wide association studiesChristoph Lippert, Jennifer Listgarten, Ying Liu, et al.
Pageof 12

Showing results (11-20 of 111) with videos related to

Sort By:
Pageof 12
Plos One|July 6, 2007
Leveraging hierarchical population structure in discrete association studiesJonathan Carlson, Carl Kadie, Simon Mallal, et al.
Nature Methods|February 10, 2015
Accurate liability estimation improves power in ascertained case-control studiesOmer Weissbrod, Christoph Lippert, Dan Geiger, 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.
Nature Methods|January 28, 2014
Epigenome-wide association studies without the need for cell-type compositionJames Zou, Christoph Lippert, David Heckerman, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 11, 2018
Ensembles of Lasso Screening RulesSeunghak Lee, Nico Gornitz, Eric P Xing, et al.
Bioinformatics (Oxford, England)|July 28, 2009
PhyloDet: a scalable visualization tool for mapping multiple traits to large evolutionary treesBongshin Lee, Lev Nachmanson, George Robertson, et al.
Bioinformatics (Oxford, England)|July 29, 2006
Learning MHC I--peptide bindingNebojsa Jojic, Manuel Reyes-Gomez, David Heckerman, et al.
Nature Methods|June 7, 2012
Improved linear mixed models for genome-wide association studiesJennifer Listgarten, Christoph Lippert, Carl M Kadie, et al.
Scientific Reports|May 10, 2013
The benefits of selecting phenotype-specific variants for applications of mixed models in genomicsChristoph Lippert, Gerald Quon, Eun Yong Kang, et al.
Nature Methods|September 6, 2011
FaST linear mixed models for genome-wide association studiesChristoph Lippert, Jennifer Listgarten, Ying Liu, et al.
Pageof 12