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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Xehetasun bibliografikoak

Egile Nagusiak:	Camacho, Francy Liliana, Torres-Sáez, Rodrigo, Ramos-Pollán, Raúl
Formatua:	Online
Hizkuntza:	eng
Argitaratua:	Universidad Pedagógica y Tecnológica de Colombia 2016
Gaiak:	antimicrobial peptides learning curves machine learning statistical stability support vector regression
Sarrera elektronikoa:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/5834