[HTML][HTML] Machine learning with random subspace ensembles identifies antimicrobial resistance determinants from pan-genomes of three pathogens

JC Hyun, ES Kavvas, JM Monk… - PLoS computational …, 2020 - journals.plos.org
The evolution of antimicrobial resistance (AMR) poses a persistent threat to global public
health. Sequencing efforts have already yielded genome sequences for thousands of …

[PDF][PDF] Machine learning with random subspace ensembles identifies antimicrobial resistance determinants from pan-genomes of three pathogens

JC Hyun, ES Kavvas, JM Monk… - PLoS Comput …, 2020 - pdfs.semanticscholar.org
The evolution of antimicrobial resistance (AMR) poses a persistent threat to global public
health. Sequencing efforts have already yielded genome sequences for thousands of …

Machine learning with random subspace ensembles identifies antimicrobial resistance determinants from pan-genomes of three pathogens

JC Hyun, ES Kavvas, JM Monk… - PLoS Computational …, 2020 - search.proquest.com
The evolution of antimicrobial resistance (AMR) poses a persistent threat to global public
health. Sequencing efforts have already yielded genome sequences for thousands of …

Machine learning with random subspace ensembles identifies antimicrobial resistance determinants from pan-genomes of three pathogens

JC Hyun, ES Kavvas, JM Monk… - PLOS Computational …, 2020 - escholarship.org
The evolution of antimicrobial resistance (AMR) poses a persistent threat to global public
health. Sequencing efforts have already yielded genome sequences for thousands of …

Machine learning with random subspace ensembles identifies antimicrobial resistance determinants from pan-genomes of three pathogens.

JC Hyun, ES Kavvas, JM Monk… - PLoS Computational …, 2020 - search.ebscohost.com
The evolution of antimicrobial resistance (AMR) poses a persistent threat to global public
health. Sequencing efforts have already yielded genome sequences for thousands of …

[引用][C] Machine learning with random subspace ensembles identifies antimicrobial resistance determinants from pan-genomes of three pathogens

JC Hyun, ES Kavvas, JM Monk… - PLoS Computational …, 2020 - ui.adsabs.harvard.edu
Machine learning with random subspace ensembles identifies antimicrobial resistance
determinants from pan-genomes of three pathogens - NASA/ADS Now on home page ads icon …

[PDF][PDF] Machine learning with random subspace ensembles identifies antimicrobial resistance determinants from pan-genomes of three pathogens

JC Hyun, ES Kavvas, JM Monk, BO Palsson - PLoS Comput Biol, 2020 - scholar.archive.org
The evolution of antimicrobial resistance (AMR) poses a persistent threat to global public
health. Sequencing efforts have already yielded genome sequences for thousands of …

Machine learning with random subspace ensembles identifies antimicrobial resistance determinants from pan-genomes of three pathogens.

JC Hyun, ES Kavvas, JM Monk, BO Palsson… - PLoS Computational …, 2020 - go.gale.com
The evolution of antimicrobial resistance (AMR) poses a persistent threat to global public
health. Sequencing efforts have already yielded genome sequences for thousands of …

[HTML][HTML] Machine learning with random subspace ensembles identifies antimicrobial resistance determinants from pan-genomes of three pathogens

JC Hyun, ES Kavvas, JM Monk… - PLoS Computational …, 2020 - ncbi.nlm.nih.gov
The evolution of antimicrobial resistance (AMR) poses a persistent threat to global public
health. Sequencing efforts have already yielded genome sequences for thousands of …

Machine learning with random subspace ensembles identifies antimicrobial resistance determinants from pan-genomes of three pathogens

JC Hyun, ES Kavvas, JM Monk… - PLoS computational …, 2020 - pubmed.ncbi.nlm.nih.gov
The evolution of antimicrobial resistance (AMR) poses a persistent threat to global public
health. Sequencing efforts have already yielded genome sequences for thousands of …