PCLPred: A Bioinformatics Method for Predicting Protein–Protein Interactions by Combining Relevance Vector Machine Model with Low-Rank Matrix Approximation

PCLPred: A Bioinformatics Method for Predicting Protein–Protein Interactions by Combining Relevance Vector Machine Model with Low-Rank Matrix Approximation

Protein–protein interactions (PPI) are key to protein functions and regulations within the cell cycle, DNA replication, and cellular signaling. Therefore, detecting whether a pair of proteins interact is of great importance for the study of molecular biology. As researchers have become aware of the...

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Bibliographic Details
Main Authors: Li-Ping Li, Yan-Bin Wang, Zhu-Hong You, Yang Li, Ji-Yong An
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:International Journal of Molecular Sciences
Subjects:
protein–protein interactions (PPI)
low rank
protein sequence
relevance vector machine (RVM)
evolutionary information
Online Access:http://www.mdpi.com/1422-0067/19/4/1029

Internet

http://www.mdpi.com/1422-0067/19/4/1029

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