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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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Principais autores: Abu Sayed Chowdhury, Douglas R. Call, Shira L. Broschat
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2020-12-01
Serier:Proceedings
Fag:
antimicrobial resistance
symmetrical uncertainty
qualitative mutual information
feature selection
machine learning
BLASTp
Online adgang:https://www.mdpi.com/2504-3900/66/1/7
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