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...
Main Authors: | Camacho, Francy Liliana, Torres-Sáez, Rodrigo, Ramos-Pollán, Raúl |
---|---|
Formato: | Online |
Idioma: | eng |
Publicado em: |
Universidad Pedagógica y Tecnológica de Colombia
2016
|
Assuntos: | |
Acesso em linha: | https://revistas.uptc.edu.co/index.php/ingenieria/article/view/5834 |
- Registos relacionados
-
Machine learning methods in prospective studies after an example of financing innovation in Colombia
Por: Padilla-Ospina, Ana Milena, et al.
Publicado em: (2020) -
Solar Radiation Prediction on Photovoltaic Systems Using Machine Learning Techniques
Por: Ordoñez-Palacios, Luis Eduardo, et al.
Publicado em: (2020) -
Use of Near Infrared Spectroscopy for the Determination of Organic Matter and Total Nitrogen of Soils
Por: Ortega Monsalve, Manuela, et al.
Publicado em: (2023) -
Detection of Homicide Trends in Colombia Using Machine Learning
Por: Ordoñez-Eraso, Hugo Armando, et al.
Publicado em: (2019) -
Machine learning algorithms for prediction of physicochemical soil properties by spectral information: a systematic review
Por: Vargas-Zapata, Mateo, et al.
Publicado em: (2022)