Predicting protein-protein interactions using high-quality non-interacting pairs

Predicting protein-protein interactions using high-quality non-interacting pairs

Abstract Background Identifying protein-protein interactions (PPIs) is of paramount importance for understanding cellular processes. Machine learning-based approaches have been developed to predict PPIs, but the effectiveness of these approaches is unsatisfactory. One major reason is that they rando...

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Bibliographic Details
Main Authors: Long Zhang, Guoxian Yu, Maozu Guo, Jun Wang
Format: Article
Language:English
Published: BMC 2018-12-01
Series:BMC Bioinformatics
Subjects:
Protein-protein interactions
Non-interacting proteins
Deep neural networks
Sequence similarity
Random walk
Online Access:http://link.springer.com/article/10.1186/s12859-018-2525-3

Internet

http://link.springer.com/article/10.1186/s12859-018-2525-3

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