Core Genome Allelic Profiles of Clinical Klebsiella pneumoniae Strains Using a Random Forest Algorithm Based on Multilocus Sequence Typing Scheme for Hypervirulence Analysis.

Abstract excerpt

BACKGROUND: Hypervirulent Klebsiella pneumoniae (hvKP) infections can have high morbidity and mortality rates owing to their invasiveness and virulence. However, there are no effective tools or biomarkers to discriminate between hvKP and nonhypervirulent K. pneumoniae (nhvKP) strains. We aimed to use a random forest algorithm to predict hvKP based on core-genome data. METHODS: In total, 272 K. pneumoniae strains...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Algorithms
• Share to Klebsiella Infections