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David Tritchler

Showing results (1-10 of 31) with videos related to

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BMC Proceedings|May 10, 2008
Genome-wide sparse canonical correlation of gene expression with genotypesElena Parkhomenko, David Tritchler, Joseph Beyene
Statistical Applications in Genetics and Molecular Biology|February 19, 2009
Sparse canonical correlation analysis with application to genomic data integrationElena Parkhomenko, David Tritchler, Joseph Beyene
Statistical Applications in Genetics and Molecular Biology|September 4, 2008
Estimating number of clusters based on a general similarity matrix with application to microarray dataShafagh Fallah, David Tritchler, Joseph Beyene
Biometrics|August 21, 2003
A test of linkage for complex discrete and continuous traits in nuclear familiesDavid Tritchler, Ying Liu, Shafagh Fallah
BMC Bioinformatics|June 25, 2009
Filtering genes for cluster and network analysisDavid Tritchler, Elena Parkhomenko, Joseph Beyene
Genetic Epidemiology|January 5, 2002
A unified framework for transmission-disequilibrium test analysis of discrete and continuous traitsYing Liu, David Tritchler, Shelley B Bull
BMC Bioinformatics|July 14, 2006
Cluster analysis of protein array results via similarity of Gene Ontology annotationCheryl Wolting, C Jane McGlade, David Tritchler
BMC Proceedings|May 10, 2008
Impact of normalization and filtering on linkage analysis of gene expression dataJoseph Beyene, Pingzhao Hu, Elena Parkhomenko, et al.
Bioinformatics Advances|January 26, 2023
Balanced Functional Module Detection in genomic dataDavid Tritchler, Lorin M Towle-Miller, Jeffrey C Miecznikowski
BMC Proceedings|December 19, 2009
Using a higher criticism statistic to detect modest effects in a genome-wide study of rheumatoid arthritisElena Parkhomenko, David Tritchler, Mathieu Lemire, et al.
Pageof 4

Showing results (1-10 of 31) with videos related to

Sort By:
Pageof 4
BMC Proceedings|May 10, 2008
Genome-wide sparse canonical correlation of gene expression with genotypesElena Parkhomenko, David Tritchler, Joseph Beyene
Statistical Applications in Genetics and Molecular Biology|February 19, 2009
Sparse canonical correlation analysis with application to genomic data integrationElena Parkhomenko, David Tritchler, Joseph Beyene
Statistical Applications in Genetics and Molecular Biology|September 4, 2008
Estimating number of clusters based on a general similarity matrix with application to microarray dataShafagh Fallah, David Tritchler, Joseph Beyene
Biometrics|August 21, 2003
A test of linkage for complex discrete and continuous traits in nuclear familiesDavid Tritchler, Ying Liu, Shafagh Fallah
BMC Bioinformatics|June 25, 2009
Filtering genes for cluster and network analysisDavid Tritchler, Elena Parkhomenko, Joseph Beyene
Genetic Epidemiology|January 5, 2002
A unified framework for transmission-disequilibrium test analysis of discrete and continuous traitsYing Liu, David Tritchler, Shelley B Bull
BMC Bioinformatics|July 14, 2006
Cluster analysis of protein array results via similarity of Gene Ontology annotationCheryl Wolting, C Jane McGlade, David Tritchler
BMC Proceedings|May 10, 2008
Impact of normalization and filtering on linkage analysis of gene expression dataJoseph Beyene, Pingzhao Hu, Elena Parkhomenko, et al.
Bioinformatics Advances|January 26, 2023
Balanced Functional Module Detection in genomic dataDavid Tritchler, Lorin M Towle-Miller, Jeffrey C Miecznikowski
BMC Proceedings|December 19, 2009
Using a higher criticism statistic to detect modest effects in a genome-wide study of rheumatoid arthritisElena Parkhomenko, David Tritchler, Mathieu Lemire, et al.
Pageof 4