GOing Bayesian: model-based gene set analysis of genome-scale data
Open Access
- 19 February 2010
- journal article
- research article
- Published by Oxford University Press (OUP) in Nucleic Acids Research
- Vol. 38 (11), 3523-3532
- https://doi.org/10.1093/nar/gkq045
Abstract
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.This publication has 28 references indexed in Scilit:
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