Combining genetic algorithm with machine learning strategies for designing potent antimicrobial peptides

Abstract Background Current methods in machine learning provide approaches for solving challenging, multiple constraint design problems. While deep learning and related neural networking methods have state-of-the-art performance, their vulnerability in decision making processes leading to irrational...

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Bibliografiske detaljer

Principais autores:	Kyle Boone, Cate Wisdom, Kyle Camarda, Paulette Spencer, Candan Tamerler
Format:	Artigo
Sprog:	Inglês
Udgivet:	BMC 2021-05-01
Serier:	BMC Bioinformatics
Fag:	Antibacterial Antimicrobial peptide Machine learning Rough set theory Genetic algorithm
Online adgang:	https://doi.org/10.1186/s12859-021-04156-x
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