The impact of incomplete knowledge on evaluation: an experimental benchmark for protein function prediction

Motivation: Rapidly expanding repositories of highly informative genomic data have generated increasing interest in methods for protein function prediction and inference of biological networks. The successful application of supervised machine learning to these tasks requires a gold standard for prot...

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Bibliographic Details
Main Authors: Huttenhower, Curtis, Hibbs, Matthew A., Myers, Chad L., Caudy, Amy A., Hess, David C., Troyanskaya, Olga G.
Format: Artigo
Language:Inglês
Published: Oxford University Press 2009
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Original Papers
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC2735660/
https://ncbi.nlm.nih.gov/pubmed/19561015
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btp397
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