RegionScan: a comprehensive R package for region-level genome-wide association testing with integration and visualization of multiple-variant and single-variant hypothesis testing
Authors
Andrew D. Paterson (ORCID: https://orcid.org/0000-0002-9169-118X)
RegionScan: a comprehensive R package for region-level genome-wide association testing with integration and visualization of multiple-variant and single-variant hypothesis testing
Andrew D. Paterson, Yun Joo Yoo, Myriam Brossard, Shelley B. Bull et al.
Journal
Bioinformatics Advances
Topics
Genetic Associations and Epidemiology
article
RegionScan: a comprehensive R package for region-level genome-wide association testing with integration and visualization of multiple-variant and single-variant hypothesis testing
Andrew D. Paterson, Yun Joo Yoo, Myriam Brossard, Shelley B. Bull, Delnaz Roshandel, Fatemeh Yavartanoo, Kexin Luo
article en
Abstract
No abstract available for this paper.
Publication Tag
Bioinformatics AdvancesVol. 5(1)
Institutions
3M (United States) (US), Seoul National University (KR), Seoul National University of Education (KR), University of Toronto (CA), Lunenfeld-Tanenbaum Research Institute (CA), Hospital for Sick Children (CA), Public Health Ontario (CA)
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RegionScan: a comprehensive R package for region-level genome-wide association testing with integration and visualization of multiple-variant and single-variant hypothesis testing — Andrew D. Paterson, Yun Joo Yoo, et al. · Bioinformatics Advances (2024) | TGRS Research Map | TGRS