Compositional framework for multitask learning in the identification of cleavage sites of HIV-1 protease-Reference-Cited by-同舟云学术

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Compositional framework for multitask learning in the identification of cleavage sites of HIV-1 protease

Published:2020-02 Issue: Volume:102 Page:103376
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Singh Deepak,Sisodia Dilip Singh,Singh Pradeep^ORCID

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference81 articles.

1. Machine learning in healthcare informatics;Acharya,2014

2. UNAIDS, UNAIDS Fact Sheet November, (2016). http://www.unaids.org/sites/default/files/media_asset/UNAIDS_FactSheet_en.pdf.

3. World Health Organization, (2016). http://www.who.int/gho/hiv/en/.

4. The discovery of HIV as the cause of AIDS;Gallo;N. Engl. J. Med.,2003

5. A comprehensive identification-evidence based alternative for HIV/AIDS treatment with HAART in the healthcare industries;Chen;Comput. Methods Programs Biomed.,2016

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1. Optimizing HIV / AIDS Antiretroviral Therapy with Genetic Algorithm;2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON);2023-12-01

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

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

4. Prediction of HIV-1 protease cleavage site from octapeptide sequence information using selected classifiers and hybrid descriptors;BMC Bioinformatics;2022-11-08

5. Effectively predicting HIV-1 protease cleavage sites by using an ensemble learning approach;BMC Bioinformatics;2022-10-27

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