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Transcriptome prediction performance across machine learning models and diverse ancestries.
Okoro, Paul C; Schubert, Ryan; Guo, Xiuqing; Johnson, W Craig; Rotter, Jerome I; Hoeschele, Ina; Liu, Yongmei; Im, Hae Kyung; Luke, Amy; Dugas, Lara R; Wheeler, Heather E.
Affiliation
  • Okoro PC; Program in Bioinformatics, Loyola University Chicago, Chicago, IL, USA.
  • Schubert R; Department of Mathematics and Statistics, Loyola University Chicago, Chicago, IL, USA.
  • Guo X; Institute for Translational Genomics and Population Sciences, The Lundquist Institute and Department of Pediatrics at Harbor-UCLA Medical Center, Torrance, CA, USA.
  • Johnson WC; Department of Biostatistics, University of Washington, Seattle, WA, USA.
  • Rotter JI; Institute for Translational Genomics and Population Sciences, The Lundquist Institute and Department of Pediatrics at Harbor-UCLA Medical Center, Torrance, CA, USA.
  • Hoeschele I; Fralin Life Sciences Institute, Virginia Tech, Blacksburg, VA, USA.
  • Liu Y; Department of Statistics, Virginia Tech, Blacksburg, VA, USA.
  • Im HK; Wake Forest School of Medicine, Winston-Salem, NC, USA.
  • Luke A; Department of Medicine, Duke University School of Medicine, Durham, NC, USA.
  • Dugas LR; Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA.
  • Wheeler HE; Department of Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, IL, USA.
HGG Adv ; 2(2)2021 Apr 08.
Article in En | MEDLINE | ID: mdl-33937878
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: HGG Adv Year: 2021 Document type: Article Affiliation country: United States Country of publication: United States
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: HGG Adv Year: 2021 Document type: Article Affiliation country: United States Country of publication: United States