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Yen-Yi Ho

Showing results (1-10 of 47) with videos related to

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BMC Bioinformatics|November 29, 2014
An efficient algorithm to explore liquid association on a genome-wide scaleTina Gunderson, Yen-Yi Ho
Biometrics|March 15, 2021
Modeling dynamic correlation in zero-inflated bivariate count data with applications to single-cell RNA sequencing dataZhen Yang, Yen-Yi Ho
Annals of Epidemiology|April 10, 2003
Potential for gene-gene confounding bias in case-parental control studiesWen-Chung Lee, Yen-Yi Ho
Biometrics|December 21, 2019
Using sufficient direction factor model to analyze latent activities associated with breast cancer survivalSeungchul Baek, Yen-Yi Ho, Yanyuan Ma
Journal of the American Medical Informatics Association : JAMIA|January 22, 2017
Automatic health record review to help prioritize gravely ill Social Security disability applicantsKenneth Abbott, Yen-Yi Ho, Jennifer Erickson
Frontiers in Genetics|March 12, 2014
Modular network construction using eQTL data: an analysis of computational costs and benefitsYen-Yi Ho, Leslie M Cope, Giovanni Parmigiani
Biometrics|May 27, 2022
Flexible copula model for integrating correlated multi-omics data from single-cell experimentsZichen Ma, Shannon W Davis, Yen-Yi Ho
Statistics in Medicine|August 5, 2020
Flexible bivariate correlated count data regressionZichen Ma, Timothy E Hanson, Yen-Yi Ho
BMC Proceedings|December 17, 2016
Powerful association test combining rare variant and gene expression using family data from Genetic Analysis Workshop 19Yen-Yi Ho, Weihua Guan, Michael O'Connell, et al.
Methods in Molecular Biology (Clifton, N.J.)|March 5, 2008
Statistical methods for identifying differentially expressed gene combinationsYen-Yi Ho, Leslie Cope, Marcel Dettling, et al.
Pageof 5

Showing results (1-10 of 47) with videos related to

Sort By:
Pageof 5
BMC Bioinformatics|November 29, 2014
An efficient algorithm to explore liquid association on a genome-wide scaleTina Gunderson, Yen-Yi Ho
Biometrics|March 15, 2021
Modeling dynamic correlation in zero-inflated bivariate count data with applications to single-cell RNA sequencing dataZhen Yang, Yen-Yi Ho
Annals of Epidemiology|April 10, 2003
Potential for gene-gene confounding bias in case-parental control studiesWen-Chung Lee, Yen-Yi Ho
Biometrics|December 21, 2019
Using sufficient direction factor model to analyze latent activities associated with breast cancer survivalSeungchul Baek, Yen-Yi Ho, Yanyuan Ma
Journal of the American Medical Informatics Association : JAMIA|January 22, 2017
Automatic health record review to help prioritize gravely ill Social Security disability applicantsKenneth Abbott, Yen-Yi Ho, Jennifer Erickson
Frontiers in Genetics|March 12, 2014
Modular network construction using eQTL data: an analysis of computational costs and benefitsYen-Yi Ho, Leslie M Cope, Giovanni Parmigiani
Biometrics|May 27, 2022
Flexible copula model for integrating correlated multi-omics data from single-cell experimentsZichen Ma, Shannon W Davis, Yen-Yi Ho
Statistics in Medicine|August 5, 2020
Flexible bivariate correlated count data regressionZichen Ma, Timothy E Hanson, Yen-Yi Ho
BMC Proceedings|December 17, 2016
Powerful association test combining rare variant and gene expression using family data from Genetic Analysis Workshop 19Yen-Yi Ho, Weihua Guan, Michael O'Connell, et al.
Methods in Molecular Biology (Clifton, N.J.)|March 5, 2008
Statistical methods for identifying differentially expressed gene combinationsYen-Yi Ho, Leslie Cope, Marcel Dettling, et al.
Pageof 5