Journal
BIOSTATISTICS
Volume 8, Issue 1, Pages 2-8Publisher
OXFORD UNIV PRESS
DOI: 10.1093/biostatistics/kxl005
Keywords
cancer; COPA; gene expression analysis; microarray
Funding
- DIVISION OF HEART AND VASCULAR DISEASES [N01HV028183] Funding Source: NIH RePORTER
- NHLBI NIH HHS [N01-HV-28183] Funding Source: Medline
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We propose a method for detecting genes that, in a disease group, exhibit unusually high gene expression in some but not all samples. This can be particularly useful in cancer studies, where mutations that can amplify or turn off gene expression often occur in only a minority of samples. In real and simulated examples, the new method often exhibits lower false discovery rates than simple t-statistic thresholding. We also compare our approach to the recent cancer profile outlier analysis proposal of Tomlins and others (2005).
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