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
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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Published in | Revista FI-UPTC Vol. 26; no. 44; p. 167 |
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Main Authors | , , |
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 | |
Online Access | Get full text |
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