A Consistency-Based Feature Selection Method Allied with Linear SVMs for HIV-1 Protease Cleavage Site Prediction-Reference-Cited by-同舟云学术

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A Consistency-Based Feature Selection Method Allied with Linear SVMs for HIV-1 Protease Cleavage Site Prediction

Published:2013-08-23 Issue:8 Volume:8 Page:e63145
ISSN:1932-6203
Container-title:PLoS ONE
language:en
Short-container-title:PLoS ONE

Author:

Öztürk Orkun,Aksaç Alper,Elsheikh Abdallah,Özyer Tansel,Alhajj Reda

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference46 articles.

1. UNAIDS website. Available: http://www.unaids.org. Accessed 2013 May 13

2. Variable context Markov chains for HIV protease cleavage site prediction;H Ogul;Bio Systems,2009

3. A reliable method for HIV-1 protease cleavage site prediction;L Nanni;Neurocomputing,2006

4. Specificity rule discovery in HIV-1 protease cleavage site analysis;H Kim;Computational Biology and Chemistry,2008

5. Machine learning for HIV-1 protease cleavage site prediction;A Lumini;Pattern Recognition Letters,2006

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2. Bacterial colony algorithm with adaptive attribute learning strategy for feature selection in classification of customers for personalized recommendation;Neurocomputing;2021-09

3. A comprehensive survey on feature selection in the various fields of machine learning;Applied Intelligence;2021-07-23

4. Incorporating the Coevolving Information of Substrates in Predicting HIV-1 Protease Cleavage Sites;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2020-11-01

5. A multi-objective feature selection method based on bacterial foraging optimization;Natural Computing;2019-07-27

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