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NoGOA: predicting noisy GO annotations using evidences and sparse representation
BACKGROUND: Gene Ontology (GO) is a community effort to represent functional features of gene products. GO annotations (GOA) provide functional associations between GO terms and gene products. Due to resources limitation, only a small portion of annotations are manually checked by curators, and the...
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| Published in: | BMC Bioinformatics |
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| Main Authors: | , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
BioMed Central
2017
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5521088/ https://ncbi.nlm.nih.gov/pubmed/28732468 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1764-z |
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