Multi-level machine learning prediction of protein–protein interactions in Saccharomyces cerevisiae

Multi-level machine learning prediction of protein–protein interactions in Saccharomyces cerevisiae

Accurate identification of protein–protein interactions (PPI) is the key step in understanding proteins’ biological functions, which are typically context-dependent. Many existing PPI predictors rely on aggregated features from protein sequences, however only a few methods exploit local information...

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Bibliographic Details
Main Authors: Julian Zubek, Marcin Tatjewski, Adam Boniecki, Maciej Mnich, Subhadip Basu, Dariusz Plewczynski
Format: Article
Language:English
Published: PeerJ Inc. 2015-07-01
Series:PeerJ
Subjects:
Protein-protein interactions
Protein interaction networks
Multi-scale models
Protein sequence
Machine learning
Physico-chemical indices
Online Access:https://peerj.com/articles/1041.pdf

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https://peerj.com/articles/1041.pdf

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