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GPA-Tree: statistical approach for functional-annotation-tree-guided prioritization of GWAS results.
Khatiwada, Aastha; Wolf, Bethany J; Yilmaz, Ayse Selen; Ramos, Paula S; Pietrzak, Maciej; Lawson, Andrew; Hunt, Kelly J; Kim, Hang J; Chung, Dongjun.
Affiliation
  • Khatiwada A; Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC 29425, USA.
  • Wolf BJ; Division of Biostatistics and Bioinformatics, National Jewish Health, Denver, CO 80206, USA.
  • Yilmaz AS; Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC 29425, USA.
  • Ramos PS; Department of Biomedical Informatics, The Ohio State University, Columbus, OH 43210, USA.
  • Pietrzak M; Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC 29425, USA.
  • Lawson A; Department of Medicine, Medical University of South Carolina, Charleston, SC 29425, USA.
  • Hunt KJ; Department of Biomedical Informatics, The Ohio State University, Columbus, OH 43210, USA.
  • Kim HJ; Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC 29425, USA.
  • Chung D; Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC 29425, USA.
Bioinformatics ; 38(4): 1067-1074, 2022 01 27.
Article in En | MEDLINE | ID: mdl-34849578
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Full text: 1 Database: MEDLINE Main subject: Software / Genome-Wide Association Study Type of study: Prognostic_studies Language: En Year: 2022 Type: Article
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PubMed Links
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Full text: 1 Database: MEDLINE Main subject: Software / Genome-Wide Association Study Type of study: Prognostic_studies Language: En Year: 2022 Type: Article