Bagging multiple comparisons from microarray data

Authors:
Dimitris N. Politis
Affiliations:
Department of Mathematics, University of California at San Diego, La Jolla, CA
Venue:
ISBRA'08 Proceedings of the 4th international conference on Bioinformatics research and applications
Year:
2008

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Abstract

Bagging and subagging procedures are put forth with thepurpose of improving the discovery power in the context of large-scale simultaneous hypothesis testing. Bagging and subagging significantly improvediscovery power at the cost of a small increase in false discoveryrate with 'maximum contrast' subagging having an edge over bagging,i.e., yielding similar power but significantly smaller false discovery rates.The proposed procedures are implemented in a situation involving a wellknown dataset on gene expressions related to prostate cancer.