Abstract:
:Many gene expression data are based on two experiments where the gene expressions of the targeted genes under both experiments are correlated. We consider problems in which objectives are to find genes that are simultaneously upregulated/downregulated under both experiments. A Bayesian methodology is proposed based on directional multiple hypotheses testing. We propose a false discovery rate specific to the problem under consideration, and construct a Bayes rule satisfying a false discovery rate criterion. The proposed method is compared with a traditional rule through simulation studies. We apply our methodology to two real examples involving microRNAs; where in one example the targeted genes are simultaneously downregulated under both experiments, and in the other the targeted genes are downregulated in one experiment and upregulated in the other experiment. We also discuss how the proposed methodology can be extended to more than two experiments.
journal_name
Stat Medjournal_title
Statistics in medicineauthors
Bansal NK,Jiang H,Pradeep Pdoi
10.1002/sim.6555subject
Has Abstractpub_date
2015-11-10 00:00:00pages
3362-75issue
25eissn
0277-6715issn
1097-0258journal_volume
34pub_type
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