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-Reference-Cited by-同舟云学术

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

Published:2023-03 Issue:1 Volume:6 Page:21-31
ISSN:2096-0654
Container-title:Big Data Mining and Analytics
language:
Short-container-title:Big Data Min. Anal.

Author:

Liu Xin¹,Lu Yaping²,Wang Liang³,Geng Wei¹,Shi Xinyi⁴,Zhang Xiao¹

Affiliation:

1. School of Medical Informatics and Engineering, Xuzhou Medical University,Xuzhou,China,221000

2. College of Computer Science and Technology, China University of Mining and Technology,Xuzhou,China,221116

3. Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences,Laboratory Medicine,Guangzhou,China,510080

4. Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences,Hangzhou,China,310005

Publisher

Tsinghua University Press

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/8254253/9962810/09962955.pdf?arnumber=9962955

Reference49 articles.

1. Detection of interactions between proteins through rotation forest and local phase quantization descriptors;wong;Int J Mol Sci,2016

2. Cancer classification using Rotation Forest

3. Two-dimensional pca: a new approach to appearance-based face representation and recognition

4. Using Weighted Sparse Representation Model Combined with Discrete Cosine Transformation to Predict Protein-Protein Interactions from Protein Sequence

5. NCBI BLAST+ integrated into Galaxy

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