NoGOA: predicting noisy GO annotations using evidences and sparse representation

NoGOA: predicting noisy GO annotations using evidences and sparse representation

Abstract 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,...

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Bibliographic Details
Main Authors: Guoxian Yu, Chang Lu, Jun Wang
Format: Article
Language:English
Published: BMC 2017-07-01
Series:BMC Bioinformatics
Subjects:
Gene ontology
GO annotations
Evidence codes
Sparse representation
Online Access:http://link.springer.com/article/10.1186/s12859-017-1764-z

Internet

http://link.springer.com/article/10.1186/s12859-017-1764-z

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