RF-PSSM: A Combination of Rotation Forest Algorithm and Position-Specific Scoring Matrix for Improved Prediction of Protein-Protein Interactions Between Hepatitis C Virus and Human

RF-PSSM: A Combination of Rotation Forest Algorithm and Position-Specific Scoring Matrix for Improved Prediction of Protein-Protein Interactions Between Hepatitis C Virus and Human

The identification of hepatitis C virus (HCV) virus-human protein interactions will not only help us understand the molecular mechanisms of related diseases but also be conductive to discovering new drug targets. An increasing number of clinically and experimentally validated interactions between HC...

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Bibliographic Details
Main Authors: Xin Liu, Yaping Lu, Liang Wang, Wei Geng, Xinyi Shi, Xiao Zhang
Format: Article
Language:English
Published: Tsinghua University Press 2023-03-01
Series:Big Data Mining and Analytics
Subjects:
protein-protein interactions
hepatitis c virus
position specific scoring matrix
two-dimensional principal component analysis
rotation forest
Online Access:https://www.sciopen.com/article/10.26599/BDMA.2022.9020031

Internet

https://www.sciopen.com/article/10.26599/BDMA.2022.9020031

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