Suitability of Sequence-Based Feature Vector for Classification Algorithm Improves Accuracy of Human Protein-Protein Interaction Prediction: A Red Blood Cell Case Study-Reference-Cited by-同舟云学术

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Suitability of Sequence-Based Feature Vector for Classification Algorithm Improves Accuracy of Human Protein-Protein Interaction Prediction: A Red Blood Cell Case Study

Published:2016-04-01 Issue:2 Volume:11 Page:291-300
ISSN:1574-8936
Container-title:Current Bioinformatics
language:en
Short-container-title:CBIO

Author:

Maali Afsaneh,A. Mahdavi Mahmood,Gheshlaghi Reza

Publisher

Bentham Science Publishers Ltd.

Subject

Computational Mathematics,Genetics,Molecular Biology,Biochemistry

Cited by 3 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. Machine Learning Advances in Predicting Peptide/Protein‐Protein Interactions Based on Sequence Information for Lead Peptides Discovery;Advanced Biology;2023-02-12

2. Accurate Prediction of ncRNA-Protein Interactions From the Integration of Sequence and Evolutionary Information;Frontiers in Genetics;2018-10-08

3. Prediction for Membrane Protein Types Based on Effective Fusion Representation and MIC-GA Feature Selection;IEEE Access;2018

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