Estimating the Proportion of True Null Hypotheses for Multiple Comparisons

Estimating the Proportion of True Null Hypotheses for Multiple Comparisons

Whole genome microarray investigations (e.g. differential expression, differential methylation, ChIP-Chip) provide opportunities to test millions of features in a genome. Traditional multiple comparison procedures such as familywise error rate (FWER) controlling procedures are too conservative. Alth...

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Bibliographic Details
Main Authors: R.W. Doerge, Hongmei Jiang
Format: Article
Language:English
Published: SAGE Publishing 2008-01-01
Series:Cancer Informatics
Subjects:
false discovery rate
multiple comparisons
type I error rate
microarray
epigenomics
Online Access:http://la-press.com/article.php?article_id=561

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http://la-press.com/article.php?article_id=561

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