SU-QMI: A Feature Selection Method Based on Graph Theory for Prediction of Antimicrobial Resistance in Gram-Negative Bacteria

Machine learning can be used as an alternative to similarity algorithms such as BLASTp when the latter fail to identify dissimilar antimicrobial-resistance genes (ARGs) in bacteria; however, determining the most informative characteristics, known as features, for antimicrobial resistance (AMR) is es...

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Detalles Bibliográficos

Principais autores:	Abu Sayed Chowdhury, Douglas R. Call, Shira L. Broschat
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2020-12-01
Series:	Proceedings
Assuntos:	antimicrobial resistance symmetrical uncertainty qualitative mutual information feature selection machine learning BLASTp
Acceso en liña:	https://www.mdpi.com/2504-3900/66/1/7
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