Improving protein function prediction using protein sequence and GO-term similarities
Author:
Affiliation:
1. Department of Intelligent Systems, Delft Bioinformatics Lab, Delft University of Technology, Delft, The Netherlands
2. Department of Bioinformatics, Keygene N.V., Wageningen, The Netherlands
Funder
Keygene
Publisher
Oxford University Press (OUP)
Subject
Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability
Link
http://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/bty751/25795276/bty751.pdf
Reference47 articles.
1. Gene Ontology: tool for the unification of biology;Ashburner;Nat. Genet,2000
2. Unachievable Region in Precision-Recall Space and Its Effect on Empirical Evaluation;Boyd;Proc. Int. Conf. Mach. Learn,2012
3. Integrated protein function prediction by mining function associations, sequences, and protein-protein and gene-gene interaction networks;Cao;Methods,2016
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