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Exploiting ontology graph for predicting sparsely annotated gene function
Motivation: Systematically predicting gene (or protein) function based on molecular interaction networks has become an important tool in refining and enhancing the existing annotation catalogs, such as the Gene Ontology (GO) database. However, functional labels with only a few (<10) annotated gen...
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| Pubblicato in: | Bioinformatics |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4542782/ https://ncbi.nlm.nih.gov/pubmed/26072504 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btv260 |
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