Prediction of Protein–Protein Interaction with Pairwise Kernel Support Vector Machine

Prediction of Protein–Protein Interaction with Pairwise Kernel Support Vector Machine

Protein–protein interactions (PPIs) play a key role in many cellular processes. Unfortunately, the experimental methods currently used to identify PPIs are both time-consuming and expensive. These obstacles could be overcome by developing computational approaches to predict PPIs. Here, we report two...

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Bibliographic Details
Main Authors: Shao-Wu Zhang, Li-Yang Hao, Ting-He Zhang
Format: Article
Language:English
Published: MDPI AG 2014-02-01
Series:International Journal of Molecular Sciences
Subjects:
amino acid distance frequency
amino acid index distribution
protein–protein interaction
pairwise kernel function
support vector machine
Online Access:http://www.mdpi.com/1422-0067/15/2/3220

Internet

http://www.mdpi.com/1422-0067/15/2/3220

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