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Inchi Hu

Showing results (1-10 of 15) with videos related to

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Bioinformatics (Oxford, England)|September 5, 2012
Interaction-based feature selection and classification for high-dimensional biological dataHaitian Wang, Shaw-Hwa Lo, Tian Zheng, et al.
BMC Proceedings|December 19, 2014
A dual-clustering framework for association screening with whole genome sequencing data and longitudinal traitsYing Liu, ChienHsun Huang, Inchi Hu, et al.
BMC Proceedings|March 1, 2012
Association screening for genes with multiple potentially rare variants: an inverse-probability weighted clustering approachYing Liu, Chien Hsun Huang, Inchi Hu, et al.
Genetic Epidemiology|December 1, 2011
Inflated type I error rates when using aggregation methods to analyze rare variants in the 1000 Genomes Project exon sequencing data in unrelated individuals: summary results from Group 7 at Genetic Analysis Workshop 17Nathan Tintle, Hugues Aschard, Inchi Hu, et al.
BMC Proceedings|March 1, 2012
New insights into old methods for identifying causal rare variantsHaitian Wang, Chien-Hsun Huang, Shaw-Hwa Lo, et al.
BMC Proceedings|December 19, 2014
Discovering pure gene-environment interactions in blood pressure genome-wide association studies data: a two-step approach incorporating new statisticsMaggie Haitian Wang, Chien-Hsun Huang, Tian Zheng, et al.
BMC Proceedings|December 17, 2016
A clustering approach to identify rare variants associated with hypertensionRui Sun, Qiao Deng, Inchi Hu, et al.
BMC Proceedings|March 1, 2012
Identifying influential regions in extremely rare variants using a fixed-bin approachMichael Agne, Chien-Hsun Huang, Inchi Hu, et al.
BMC Proceedings|December 19, 2014
Considering interactive effects in the identification of influential regions with extremely rare variants via fixed bin approachMichael Agne, Chien-Hsun Huang, Inchi Hu, et al.
BMC Proceedings|December 19, 2014
A partition-based approach to identify gene-environment interactions in genome wide association studiesRuixue Fan, Chien-Hsun Huang, Inchi Hu, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Bioinformatics (Oxford, England)|September 5, 2012
Interaction-based feature selection and classification for high-dimensional biological dataHaitian Wang, Shaw-Hwa Lo, Tian Zheng, et al.
BMC Proceedings|December 19, 2014
A dual-clustering framework for association screening with whole genome sequencing data and longitudinal traitsYing Liu, ChienHsun Huang, Inchi Hu, et al.
BMC Proceedings|March 1, 2012
Association screening for genes with multiple potentially rare variants: an inverse-probability weighted clustering approachYing Liu, Chien Hsun Huang, Inchi Hu, et al.
Genetic Epidemiology|December 1, 2011
Inflated type I error rates when using aggregation methods to analyze rare variants in the 1000 Genomes Project exon sequencing data in unrelated individuals: summary results from Group 7 at Genetic Analysis Workshop 17Nathan Tintle, Hugues Aschard, Inchi Hu, et al.
BMC Proceedings|March 1, 2012
New insights into old methods for identifying causal rare variantsHaitian Wang, Chien-Hsun Huang, Shaw-Hwa Lo, et al.
BMC Proceedings|December 19, 2014
Discovering pure gene-environment interactions in blood pressure genome-wide association studies data: a two-step approach incorporating new statisticsMaggie Haitian Wang, Chien-Hsun Huang, Tian Zheng, et al.
BMC Proceedings|December 17, 2016
A clustering approach to identify rare variants associated with hypertensionRui Sun, Qiao Deng, Inchi Hu, et al.
BMC Proceedings|March 1, 2012
Identifying influential regions in extremely rare variants using a fixed-bin approachMichael Agne, Chien-Hsun Huang, Inchi Hu, et al.
BMC Proceedings|December 19, 2014
Considering interactive effects in the identification of influential regions with extremely rare variants via fixed bin approachMichael Agne, Chien-Hsun Huang, Inchi Hu, et al.
BMC Proceedings|December 19, 2014
A partition-based approach to identify gene-environment interactions in genome wide association studiesRuixue Fan, Chien-Hsun Huang, Inchi Hu, et al.
Pageof 2