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UMAP reveals cryptic population structure and phenotype heterogeneity in large genomic cohorts.
Diaz-Papkovich, Alex; Anderson-Trocmé, Luke; Ben-Eghan, Chief; Gravel, Simon.
Affiliation
  • Diaz-Papkovich A; Quantitative Life Sciences, McGill University, Montreal, Québec, Canada.
  • Anderson-Trocmé L; McGill University and Genome Quebec Innovation Centre, Montreal, Québec, Canada.
  • Ben-Eghan C; McGill University and Genome Quebec Innovation Centre, Montreal, Québec, Canada.
  • Gravel S; Department of Human Genetics, McGill University, Montreal, Québec, Canada.
PLoS Genet ; 15(11): e1008432, 2019 11.
Article in En | MEDLINE | ID: mdl-31675358
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genetic Variation / Genome, Human / Genomics / Genetics, Population Type of study: Prognostic_studies Limits: Humans Language: En Journal: PLoS Genet Journal subject: GENETICA Year: 2019 Type: Article Affiliation country: Canada
Fulltext
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XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genetic Variation / Genome, Human / Genomics / Genetics, Population Type of study: Prognostic_studies Limits: Humans Language: En Journal: PLoS Genet Journal subject: GENETICA Year: 2019 Type: Article Affiliation country: Canada