Priors, population sizes, and power in genome-wide hypothesis tests.

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Bibliographic Details
Title: Priors, population sizes, and power in genome-wide hypothesis tests.
Authors: Cai J; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA., Zhan J; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA., Arking DE; Department of Genetic Medicine, Johns Hopkins University, Baltimore, MD, 21218, USA., Bader JS; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA. joel.bader@jhu.edu.; Department of Genetic Medicine, Johns Hopkins University, Baltimore, MD, 21218, USA. joel.bader@jhu.edu.
Source: BMC bioinformatics [BMC Bioinformatics] 2023 Apr 26; Vol. 24 (1), pp. 170. Date of Electronic Publication: 2023 Apr 26.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105 (Electronic) Linking ISSN: 14712105 NLM ISO Abbreviation: BMC Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1471-2105
DOI:10.1186/s12859-023-05261-9