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Nature Genetics
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April 27, 2013
FaST-LMM-Select for addressing confounding from spatial structure and rare variants
Jennifer Listgarten, Christoph Lippert, David Heckerman
Proceedings of the National Academy of Sciences of the United States of America
|
December 23, 2021
On the sparsity of fitness functions and implications for learning
David H Brookes, Amirali Aghazadeh, Jennifer Listgarten
Nucleic Acids Research
|
January 11, 2013
Patterns of methylation heritability in a genome-wide analysis of four brain regions
Gerald Quon, Christoph Lippert, David Heckerman, et al.
Nature Biotechnology
|
January 18, 2022
Learning protein fitness models from evolutionary and assay-labeled data
Chloe Hsu, Hunter Nisonoff, Clara Fannjiang, 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 expression
Jennifer Listgarten, Carl Kadie, Eric E Schadt, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|
February 21, 2013
The future of genome-based medicine
Quaid Morris, Steven E Brenner, Jennifer Listgarten, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|
February 21, 2013
PERSONALIZED MEDICINE: FROM GENOTYPES AND MOLECULAR PHENOTYPES TOWARDS COMPUTED THERAPY
Oliver Stegle, Steven E Brenner, Quaid Morris, et al.
Nature Methods
|
January 28, 2014
Epigenome-wide association studies without the need for cell-type composition
James Zou, Christoph Lippert, David Heckerman, et al.
Plos Computational Biology
|
October 17, 2007
A statistical framework for modeling HLA-dependent T cell response data
Jennifer Listgarten, Nicole Frahm, Carl Kadie, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|
December 4, 2013
Personalized medicine: from genotypes and molecular phenotypes towards therapy- session introduction
Jennifer Listgarten, Oliver Stegle, Quaid Morris, et al.
Page
of 6
Search research articles
Search
Showing results (11-20 of 57) with videos related to
Sort By:
Page
of 6
Nature Genetics
|
April 27, 2013
FaST-LMM-Select for addressing confounding from spatial structure and rare variants
Jennifer Listgarten, Christoph Lippert, David Heckerman
Proceedings of the National Academy of Sciences of the United States of America
|
December 23, 2021
On the sparsity of fitness functions and implications for learning
David H Brookes, Amirali Aghazadeh, Jennifer Listgarten
Nucleic Acids Research
|
January 11, 2013
Patterns of methylation heritability in a genome-wide analysis of four brain regions
Gerald Quon, Christoph Lippert, David Heckerman, et al.
Nature Biotechnology
|
January 18, 2022
Learning protein fitness models from evolutionary and assay-labeled data
Chloe Hsu, Hunter Nisonoff, Clara Fannjiang, 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 expression
Jennifer Listgarten, Carl Kadie, Eric E Schadt, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|
February 21, 2013
The future of genome-based medicine
Quaid Morris, Steven E Brenner, Jennifer Listgarten, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|
February 21, 2013
PERSONALIZED MEDICINE: FROM GENOTYPES AND MOLECULAR PHENOTYPES TOWARDS COMPUTED THERAPY
Oliver Stegle, Steven E Brenner, Quaid Morris, et al.
Nature Methods
|
January 28, 2014
Epigenome-wide association studies without the need for cell-type composition
James Zou, Christoph Lippert, David Heckerman, et al.
Plos Computational Biology
|
October 17, 2007
A statistical framework for modeling HLA-dependent T cell response data
Jennifer Listgarten, Nicole Frahm, Carl Kadie, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|
December 4, 2013
Personalized medicine: from genotypes and molecular phenotypes towards therapy- session introduction
Jennifer Listgarten, Oliver Stegle, Quaid Morris, et al.
Page
of 6