Assessing the behavior of machine learning methods to predict the activity of antimicrobial peptides/Evaluación del comportamiento de métodos de machine learning para predecir la actividad de péptidos antimicrobianos/Avaliacao do comportamento de métodos de machine learning para predizer a atividade de peptídeos antimicrobianos

• Published in: Revista FI-UPTC Vol. 26; no. 44; p. 167
• Main Authors: Camacho, Francy Liliana, Torres-Saez, Rodrigo, Ramos-Pollán, Raul
• Format: Journal Article
• Language: Spanish; English
• Published: Tunja Universidad Pedagogica y Tecnologica de Colombia. Facultad de Ingenieria 01.01.2017; Universidad Pedagogica y Tecnologica de Colombia
• Subjects: Algorithms; Analysis; Machine learning; Methods; 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...