Combining a genetic algorithm and ensemble method to improve the classification of viruses-Reference-Cited by-同舟云学术

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Combining a genetic algorithm and ensemble method to improve the classification of viruses

Published:2021-12-09 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Lebatteux Dylan,Diallo Abdoulaye Banire

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9669261/9669139/09669670.pdf?arnumber=9669670

Reference15 articles.

1. GECKO is a genetic algorithm to classify and explore high throughput sequencing data

2. Genetic Algorithm

3. Probability estimates for multiclass classification by pairwise coupling;wu;Journal of Machine Learning Research,2004

4. The Challenge of HIV-1 Subtype Diversity

5. Automated subtyping of HIV-1 genetic sequences for clinical and surveillance purposes: Performance evaluation of the new REGA version 3 and seven other tools

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-based approach KEVOLVE efficiently identifies SARS-CoV-2 variant-specific genomic signatures;PLOS ONE;2024-01-19

2. KANALYZER: a method to identify variations of discriminative k-mers in genomic sequences;2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2022-12-06

3. Machine learning-based approach KEVOLVE efficiently identifies SARS-CoV-2 variant-specific genomic signatures;2022-02-07

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