Assessing the behavior of machine learning methods to predict the activity of antimicrobial peptides

This study demonstrates the importance of obtaining statistically stable results when using machine learning methods to predict the activity of antimicrobial peptides, due to the cost and complexity of the chemical processes involved in cases where datasets are particularly small (less than a few hu...

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Detalles Bibliográficos

Autores principales:	Camacho, Francy Liliana, Torres-Sáez, Rodrigo, Ramos-Pollán, Raúl
Formato:	Online
Lenguaje:	eng
Publicado:	Universidad Pedagógica y Tecnológica de Colombia 2016
Materias:	antimicrobial peptides learning curves machine learning statistical stability support vector regression
Acceso en línea:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/5834