GODoc: high-throughput protein function prediction using novel k-nearest-neighbor and voting algorithms

GODoc: high-throughput protein function prediction using novel k-nearest-neighbor and voting algorithms

Abstract Background Biological data has grown explosively with the advance of next-generation sequencing. However, annotating protein function with wet lab experiments is time-consuming. Fortunately, computational function prediction can help wet labs formulate biological hypotheses and prioritize e...

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Bibliographic Details
Main Authors: Yi-Wei Liu, Tz-Wei Hsu, Che-Yu Chang, Wen-Hung Liao, Jia-Ming Chang
Format: Article
Language:English
Published: BMC 2020-11-01
Series:BMC Bioinformatics
Subjects:
Protein function prediction
Machine learning
Gene ontology
Homology extension
Data science
Online Access:http://link.springer.com/article/10.1186/s12859-020-03556-9

Internet

http://link.springer.com/article/10.1186/s12859-020-03556-9

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