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Non-random sampling leads to biased estimates of transcriptome association.
Foulkes, A S; Balasubramanian, R; Qian, J; Reilly, M P.
Affiliation
  • Foulkes AS; Massachusetts General Hospital, Harvard Medical School, Department of Medicine, Biostatistics, Boston, MA, 02114, USA. afoulkes@mgh.harvard.edu.
  • Balasubramanian R; University of Massachusetts, Department of Biostatistics and Epidemiology, Amherst, MA, 01003, USA.
  • Qian J; University of Massachusetts, Department of Biostatistics and Epidemiology, Amherst, MA, 01003, USA.
  • Reilly MP; Columbia University, Cardiology Division, Department of Medicine and the Irving Institute for Clinical and Translational Sciences, New York, NY, 10032, USA.
Sci Rep ; 10(1): 6193, 2020 04 10.
Article in En | MEDLINE | ID: mdl-32277087
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Gene Expression Profiling / Transcriptome Type of study: Clinical_trials / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male Language: En Journal: Sci Rep Year: 2020 Document type: Article Affiliation country: United States
Fulltext
Add to My VHL
Print
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Gene Expression Profiling / Transcriptome Type of study: Clinical_trials / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male Language: En Journal: Sci Rep Year: 2020 Document type: Article Affiliation country: United States