Prediction of Protein Subcellular Localization by Using 𝛌-Order Factor and Principal Component Analysis
Author:
Affiliation:
1. School of Mathematics and Statistics, Xidian University, Xi'an 710071, China
Publisher
Bentham Science Publishers Ltd.
Subject
Organic Chemistry,Biochemistry
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Predictions of Apoptosis Proteins by Integrating Different Features Based on Improving Pseudo-Position-Specific Scoring Matrix;BioMed Research International;2020-01-14
2. Protein Subcellular Localization Prediction based on PSI-BLAST Profile and Principal Component Analysis;Current Proteomics;2019-07-02
3. A Review of DNA-binding Proteins Prediction Methods;Current Bioinformatics;2019-03-07
4. Prediction of Apoptosis Protein Subcellular Localization with Multilayer Sparse Coding and Oversampling Approach;BioMed Research International;2019-01-30
5. HBPred: a tool to identify growth hormone-binding proteins;International Journal of Biological Sciences;2018
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