A Cross-Validated Feature Selection (CVFS) approach for extracting the most parsimonious feature sets and discovering potential antimicrobial resistance (AMR) biomarkers

Understanding genes and their underlying mechanisms is critical in deciphering how antimicrobial-resistant (AMR) bacteria withstand detrimental effects of antibiotic drugs. At the same time the genes related to AMR phenotypes may also serve as biomarkers for predicting whether a microbial strain is...

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Detalles Bibliográficos
Autores principales: Yang, Ming-Ren, Wu, Yu-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842539/
https://www.ncbi.nlm.nih.gov/pubmed/36698972
http://dx.doi.org/10.1016/j.csbj.2022.12.046

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842539/
https://www.ncbi.nlm.nih.gov/pubmed/36698972
http://dx.doi.org/10.1016/j.csbj.2022.12.046

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