title: Multiple testing on the directed acyclic graph of gene ontology.
abstract: BACKGROUND
  Current methods for multiplicity adjustment do not make use of the graph structure of Gene Ontology (GO) when testing for association of expression profiles of GO terms with a response variable.
  
  
  RESULTS
  We propose a multiple testing method, called the focus level procedure, that preserves the graph structure of Gene Ontology (GO). The procedure is constructed as a combination of a Closed Testing procedure with Holm's method. It requires a user to choose a 'focus level' in the GO graph, which reflects the level of specificity of terms in which the user is most interested. This choice also determines the level in the GO graph at which the procedure has most power. We prove that the procedure strongly controls the family-wise error rate without any additional assumptions on the joint distribution of the test statistics used. We also present an algorithm to calculate multiplicity-adjusted P-values. Because the focus level procedure preserves the structure of the GO graph, it does not generally preserve the ordering of the raw P-values in the adjusted P-values.
  
  
  BACKGROUND
  The focus level procedure has been implemented in the globaltest and GlobalAncova packages, both of which are available on www.bioconductor.org.
authors.affiliation: Department of Medical Statistics, Postzone S5-P, P.O. Box 9600, 2300 RC Leiden, The Netherlands. j.j.goeman@lumc.nl
authors.forename: Jelle J
authors.initials: JJ
authors.lastname: Goeman
authors.forename: Ulrich
authors.initials: U
authors.lastname: Mansmann
mesh_terms: D000465:Algorithms; D001943:Breast Neoplasms / Q000235:genetics; D019295:Computational Biology / Q000379:methods*; D005260:Female; D052138:Genes, Neoplasm; D006801:Humans; D015470:Leukemia, Myeloid, Acute / Q000235:genetics