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

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...

書誌詳細
主要な著者:	Camacho, Francy Liliana, Torres-Sáez, Rodrigo, Ramos-Pollán, Raúl
フォーマット:	Online
言語:	eng
出版事項:	Universidad Pedagógica y Tecnológica de Colombia 2016
主題:	antimicrobial peptides learning curves machine learning statistical stability support vector regression
オンライン･アクセス:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/5834

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