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HGG Advances
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August 14, 2023
Building an optimal predictive model for imputing tissue-specific gene expression by combining genotype and whole-blood transcriptome data
Sunwoo Jung, Cue Hyunkyu Lee, Jae Hoon Sul, et al.
Plos Genetics
|
June 21, 2013
Effectively identifying eQTLs from multiple tissues by combining mixed model and meta-analytic approaches
Jae Hoon Sul, Buhm Han, Chun Ye, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
April 15, 2015
Gene-Gene Interactions Detection Using a Two-stage Model
Zhanyong Wang, Jae Hoon Sul, Sagi Snir, et al.
Genome Biology
|
April 9, 2014
Effectively identifying regulatory hotspots while capturing expression heterogeneity in gene expression studies
Jong Wha J Joo, Jae Hoon Sul, Buhm Han, et al.
HGG Advances
|
May 23, 2022
Polygenic risk scores of endo-phenotypes identify the effect of genetic background in congenital heart disease
Sarah J Spendlove, Leroy Bondhus, Gentian Lluri, et al.
Bioinformatics (Oxford, England)
|
June 17, 2016
Using genomic annotations increases statistical power to detect eGenes
Dat Duong, Jennifer Zou, Farhad Hormozdiari, et al.
Human Molecular Genetics
|
February 25, 2016
A general framework for meta-analyzing dependent studies with overlapping subjects in association mapping
Buhm Han, Dat Duong, Jae Hoon Sul, et al.
Plos Computational Biology
|
December 19, 2019
ForestQC: Quality control on genetic variants from next-generation sequencing data using random forest
Jiajin Li, Brandon Jew, Lingyu Zhan, et al.
Nature Communications
|
July 12, 2024
CoPheScan: phenome-wide association studies accounting for linkage disequilibrium
Ichcha Manipur, Guillermo Reales, Jae Hoon Sul, et al.
Bioinformatics (Oxford, England)
|
September 9, 2017
Applying meta-analysis to genotype-tissue expression data from multiple tissues to identify eQTLs and increase the number of eGenes
Dat Duong, Lisa Gai, Sagi Snir, et al.
Page
of 7
Search research articles
Search
Showing results (11-20 of 62) with videos related to
Sort By:
Page
of 7
HGG Advances
|
August 14, 2023
Building an optimal predictive model for imputing tissue-specific gene expression by combining genotype and whole-blood transcriptome data
Sunwoo Jung, Cue Hyunkyu Lee, Jae Hoon Sul, et al.
Plos Genetics
|
June 21, 2013
Effectively identifying eQTLs from multiple tissues by combining mixed model and meta-analytic approaches
Jae Hoon Sul, Buhm Han, Chun Ye, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
April 15, 2015
Gene-Gene Interactions Detection Using a Two-stage Model
Zhanyong Wang, Jae Hoon Sul, Sagi Snir, et al.
Genome Biology
|
April 9, 2014
Effectively identifying regulatory hotspots while capturing expression heterogeneity in gene expression studies
Jong Wha J Joo, Jae Hoon Sul, Buhm Han, et al.
HGG Advances
|
May 23, 2022
Polygenic risk scores of endo-phenotypes identify the effect of genetic background in congenital heart disease
Sarah J Spendlove, Leroy Bondhus, Gentian Lluri, et al.
Bioinformatics (Oxford, England)
|
June 17, 2016
Using genomic annotations increases statistical power to detect eGenes
Dat Duong, Jennifer Zou, Farhad Hormozdiari, et al.
Human Molecular Genetics
|
February 25, 2016
A general framework for meta-analyzing dependent studies with overlapping subjects in association mapping
Buhm Han, Dat Duong, Jae Hoon Sul, et al.
Plos Computational Biology
|
December 19, 2019
ForestQC: Quality control on genetic variants from next-generation sequencing data using random forest
Jiajin Li, Brandon Jew, Lingyu Zhan, et al.
Nature Communications
|
July 12, 2024
CoPheScan: phenome-wide association studies accounting for linkage disequilibrium
Ichcha Manipur, Guillermo Reales, Jae Hoon Sul, et al.
Bioinformatics (Oxford, England)
|
September 9, 2017
Applying meta-analysis to genotype-tissue expression data from multiple tissues to identify eQTLs and increase the number of eGenes
Dat Duong, Lisa Gai, Sagi Snir, et al.
Page
of 7