A genetic programming method for feature mapping to improve prediction of HIV-1 protease cleavage site-Reference-Cited by-同舟云学术

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A genetic programming method for feature mapping to improve prediction of HIV-1 protease cleavage site

Published:2018-11 Issue: Volume:72 Page:56-64
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Fathi Abdolhossein^ORCID,Sadeghi Rasool

Publisher

Elsevier BV

Subject

Software

Reference35 articles.

1. A reflection on HIV/AIDS research after 25 years;Gallo;Retrovirology,2006

2. World Health Organization, www.who.int, [Online Access: 2 February 2017].

3. Origins of HIV and the AIDS Pandemic;Sharp;Cold Spring Harb. Perspect. Med.,2011

4. Human immunodeficiency virus type 2;Reeves;J. Gen. Virol.,2002

5. Recombination in AIDS viruses;Robertson;J. Mol. Evol.,1995

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1. Multi-objective optimization with majority voting ensemble of classifiers for prediction of HIV-1 protease cleavage site;Soft Computing;2023-05-25

2. Multi-objective Optimization with Majority Voting Ensemble of Classifiers for Prediction of HIV-1 Protease Cleavage Site;2023-01-03

3. Using genetic programming to predict and optimize protein function;PeerJ Physical Chemistry;2022-09-21

4. HIV-1 Protease Cleavage Site Prediction using Stacked Autoencoder with Ensemble of Classifiers;2022 International Joint Conference on Neural Networks (IJCNN);2022-07-18

5. Semantic schema based genetic programming for symbolic regression;Applied Soft Computing;2022-06

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