Abstract:
:We propose a novel approach for finding a list of features that are commonly perturbed in two or more experiments, quantifying the evidence of dependence between the experiments by a ratio. We present a Bayesian analysis of this ratio, which leads us to suggest two rules for choosing a cut-off on the ranked list of p values. We evaluate and compare the performance of these statistical tools in a simulation study, and show their usefulness on two real datasets.
journal_name
Genome Bioljournal_title
Genome biologyauthors
Blangiardo M,Richardson Sdoi
10.1186/gb-2007-8-4-r54subject
Has Abstractpub_date
2007-01-01 00:00:00pages
R54issue
4eissn
1474-7596issn
1474-760Xpii
gb-2007-8-4-r54journal_volume
8pub_type
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