Using Feature Selection from XGBoost to Predict MIC Values with Neural Networks-Reference-Cited by-同舟云学术

Using Feature Selection from XGBoost to Predict MIC Values with Neural Networks

Published:2023-06-18 Issue: Volume: Page:
ISSN:
Container-title:2023 International Joint Conference on Neural Networks (IJCNN)
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Author:

Kromer-Edwards Cory¹,Castanheira Mariana²,Oliveira Suely¹

Affiliation:

1. University of Iowa,Computer Science,Iowa City,United States

2. JMI Laboratories,North Liberty,United States

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10190990/10190992/10191713.pdf?arnumber=10191713

Reference26 articles.

1. AMR-Diag: Neural network based genotype-to-phenotype prediction of resistance towards β-lactams in Escherichia coli and Klebsiella pneumoniae

2. KMC 3: counting and manipulating k-mer statistics

3. Neural network-based predictions of antimicrobial resistance in salmonella spp. using k-mers counting from whole-genome sequences;barros;BioRxiv,2021

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