Original paper
Protein–protein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique
Abstract
The prediction of protein-protein interaction (PPI) sites is a key to mutation design, catalytic reaction and the reconstruction of PPI networks. It is a challenging task considering the significant abundant sequences and the imbalance issue in samples.A new ensemble learning-based method, Ensemble Learning of synthetic minority oversampling technique (SMOTE) for Unbalancing samples and RF algorithm (EL-SMURF), was proposed for PPI sites...
Paper Details
Title
Protein–protein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique
Published Date
Dec 5, 2018
Journal
Volume
35
Issue
14
Pages
2395 - 2402
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History