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...

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Chi tiết về thư mục
Những tác giả chính:	Camacho, Francy Liliana, Torres-Sáez, Rodrigo, Ramos-Pollán, Raúl
Định dạng:	Online
Ngôn ngữ:	eng
Được phát hành:	Universidad Pedagógica y Tecnológica de Colombia 2016
Những chủ đề:	antimicrobial peptides learning curves machine learning statistical stability support vector regression
Truy cập trực tuyến:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/5834

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