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Junghyun Jung

Showing results (1-10 of 25) with videos related to

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BMC Bioinformatics|May 15, 2024
MR-GGI: accurate inference of gene-gene interactions using Mendelian randomizationWonseok Oh, Junghyun Jung, Jong Wha J Joo
Medrxiv : the Preprint Server for Health Sciences|April 10, 2023
Novel insight into the etiology of ischemic stroke gained by integrative transcriptome-wide association studyJunghyun Jung, Zeyun Lu, Adam de Smith, et al.
Human Molecular Genetics|October 12, 2023
Novel insight into the etiology of ischemic stroke gained by integrative multiome-wide association studyJunghyun Jung, Zeyun Lu, Adam de Smith, et al.
International Journal of Molecular Sciences|January 15, 2021
An Integrative Transcriptomic Analysis of Systemic Juvenile Idiopathic Arthritis for Identifying Potential Genetic Markers and Drug CandidatesDaeun Kim, Jaeseung Song, Sora Lee, et al.
Genome Biology|May 1, 2021
MARS: leveraging allelic heterogeneity to increase power of association testingFarhad Hormozdiari, Junghyun Jung, Eleazar Eskin, et al.
BMC Genomics|November 19, 2020
Fully automated web-based tool for identifying regulatory hotspotsJu Hun Choi, Taegun Kim, Junghyun Jung, et al.
Arthritis Research & Therapy|February 9, 2024
Large-scale integrative analysis of juvenile idiopathic arthritis for new insight into its pathogenesisDaeun Kim, Jaeseung Song, Nicholas Mancuso, et al.
Frontiers in Molecular Neuroscience|October 17, 2022
An <i>in-silico</i> approach to studying a very rare neurodegenerative disease using a disease with higher prevalence with shared pathways and genes: Cerebral adrenoleukodystrophy and Alzheimer's diseaseYu Jeong Shim, Min Kyoung Shin, Junghyun Jung, et al.
Medrxiv : the Preprint Server for Health Sciences|April 10, 2023
A scalable variational approach to characterize pleiotropic components across thousands of human diseases and complex traits using GWAS summary statisticsZixuan Zhang, Junghyun Jung, Artem Kim, et al.
American Journal of Human Genetics|October 25, 2023
A scalable approach to characterize pleiotropy across thousands of human diseases and complex traits using GWAS summary statisticsZixuan Zhang, Junghyun Jung, Artem Kim, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
BMC Bioinformatics|May 15, 2024
MR-GGI: accurate inference of gene-gene interactions using Mendelian randomizationWonseok Oh, Junghyun Jung, Jong Wha J Joo
Medrxiv : the Preprint Server for Health Sciences|April 10, 2023
Novel insight into the etiology of ischemic stroke gained by integrative transcriptome-wide association studyJunghyun Jung, Zeyun Lu, Adam de Smith, et al.
Human Molecular Genetics|October 12, 2023
Novel insight into the etiology of ischemic stroke gained by integrative multiome-wide association studyJunghyun Jung, Zeyun Lu, Adam de Smith, et al.
International Journal of Molecular Sciences|January 15, 2021
An Integrative Transcriptomic Analysis of Systemic Juvenile Idiopathic Arthritis for Identifying Potential Genetic Markers and Drug CandidatesDaeun Kim, Jaeseung Song, Sora Lee, et al.
Genome Biology|May 1, 2021
MARS: leveraging allelic heterogeneity to increase power of association testingFarhad Hormozdiari, Junghyun Jung, Eleazar Eskin, et al.
BMC Genomics|November 19, 2020
Fully automated web-based tool for identifying regulatory hotspotsJu Hun Choi, Taegun Kim, Junghyun Jung, et al.
Arthritis Research & Therapy|February 9, 2024
Large-scale integrative analysis of juvenile idiopathic arthritis for new insight into its pathogenesisDaeun Kim, Jaeseung Song, Nicholas Mancuso, et al.
Frontiers in Molecular Neuroscience|October 17, 2022
An <i>in-silico</i> approach to studying a very rare neurodegenerative disease using a disease with higher prevalence with shared pathways and genes: Cerebral adrenoleukodystrophy and Alzheimer's diseaseYu Jeong Shim, Min Kyoung Shin, Junghyun Jung, et al.
Medrxiv : the Preprint Server for Health Sciences|April 10, 2023
A scalable variational approach to characterize pleiotropic components across thousands of human diseases and complex traits using GWAS summary statisticsZixuan Zhang, Junghyun Jung, Artem Kim, et al.
American Journal of Human Genetics|October 25, 2023
A scalable approach to characterize pleiotropy across thousands of human diseases and complex traits using GWAS summary statisticsZixuan Zhang, Junghyun Jung, Artem Kim, et al.
Pageof 3