Omics : a journal of integrative biology
Transcriptome-Based Machine Learning Models to Predict Antimicrobial Resistance in Pseudomonas aeruginosa.
Ceyda Kula, Irem Erguven, Berkay Ozcelik, Gizem Gulfidan, Kazim Yalcin Arga
Published: 202510.1177/15578100251408284
Abstract
Antimicrobial resistance (AMR) is a growing threat in planetary health and demands innovative systems biology strategies for rapid and accurate detection of AMR and attendant resistance phenotypes. Chief among the AMR cases is Pseudomonas aeruginosa…
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