Journal
BIOINFORMATICS
Volume 28, Issue 2, Pages 269-276Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btr631
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Funding
- German National Genome Research Network (NGFN)
- German Research Foundation (DFG) [KFO 129/1-2]
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Results: We introduce the new method BioSim that incorporates multiple sources of annotations to quantify the functional similarity of genes and proteins. We compared the performance of our method with four other well-known methods adapted to use multiple annotation sources. We evaluated the methods by searching for known functional relationships using annotations based only on GO or on our large data warehouse BioMyn. This warehouse integrates many diverse annotation sources of human genes and proteins. We observed that the search performance improved substantially for almost all methods when multiple annotation sources were included. In particular, our method outperformed the other methods in terms of recall and average precision.
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