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- Title
Robust and accurate data enrichment statistics via distribution function of sum of weights.
- Authors
Stojmirović, Aleksandar; Yu, Yi-Kuo
- Abstract
Term-enrichment analysis facilitates biological interpretation by assigning to experimentally/computationally obtained data annotation associated with terms from controlled vocabularies. This process usually involves obtaining statistical significance for each vocabulary term and using the most significant terms to describe a given set of biological entities, often associated with weights. Many existing enrichment methods require selections of (arbitrary number of) the most significant entities and/or do not account for weights of entities. Others either mandate extensive simulations to obtain statistics or assume normal weight distribution. In addition, most methods have difficulty assigning correct statistical significance to terms with few entities.
- Publication
Bioinformatics (Oxford, England), 2010, Vol 26, Issue 21, p2752
- ISSN
1367-4811
- Publication type
Journal Article
- DOI
10.1093/bioinformatics/btq511