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TreeQTL: hierarchical error control for eQTL findings.
Peterson, C B; Bogomolov, M; Benjamini, Y; Sabatti, C.
Afiliação
  • Peterson CB; Department of Health Research and Policy, Stanford University, Stanford, CA 94305, USA.
  • Bogomolov M; Faculty of Industrial Engineering and Management, Technion, Haifa 32000, Israel.
  • Benjamini Y; Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv 6997801, Israel.
  • Sabatti C; Departments of Biomedical Data Science and Statistics, Stanford University, Stanford, CA 94305, USA.
Bioinformatics ; 32(16): 2556-8, 2016 08 15.
Article em En | MEDLINE | ID: mdl-27153635
ABSTRACT
UNLABELLED Commonly used multiplicity adjustments fail to control the error rate for reported findings in many expression quantitative trait loci (eQTL) studies. TreeQTL implements a hierarchical multiple testing procedure which allows control of appropriate error rates defined relative to a grouping of the eQTL hypotheses. AVAILABILITY AND IMPLEMENTATION The R package TreeQTL is available for download at http//bioinformatics.org/treeqtl CONTACT sabatti@stanford.edu SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Locos de Características Quantitativas Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Locos de Características Quantitativas Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article