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GOing Bayesian: model-based gene set analysis of genome-scale data

2010; Oxford University Press; Volume: 38; Issue: 11 Linguagem: Inglês

10.1093/nar/gkq045

1362-4962

Sebastian Bauer, Julien Gagneur, Peter N. Robinson,

Gene Regulatory Network Analysis

The interpretation of data-driven experiments in genomics often involves a search for biological categories that are enriched for the responder genes identified by the experiments. However, knowledge bases such as the Gene Ontology (GO) contain hundreds or thousands of categories with very high overlap between categories. Thus, enrichment analysis performed on one category at a time frequently returns large numbers of correlated categories, leaving the choice of the most relevant ones to the user's; interpretation.