A genome-based model to predict the virulence of pseudomonas aeruginosa isolates

INIS

• virulence 100%
• machine learning 50%
• pseudomonas 30%
• mice 20%
• diseases 20%
• pathogens 20%
• variations 20%
• algorithms 20%
• accuracy 20%
• levels 10%
• patients 10%
• phenotype 10%
• information 10%
• forests 10%
• strains 10%
• performance 10%
• prediction 10%
• validation 10%
• nucleotides 10%
• randomness 10%

Immunology and Microbiology

• Virulence 100%
• Pseudomonas aeruginosa 80%
• Learning 50%
• Algorithm 20%
• Bacterial Genome 20%
• Infectious Agent 20%
• Aptitude 20%
• Accuracy 20%
• Single Nucleotide Polymorphism 10%
• Phenotype 10%
• Mouse Model 10%
• Pathogenicity 10%
• Electric Potential 10%
• Mouse 10%
• Random Forest 10%
• Species 10%

Biochemistry, Genetics and Molecular Biology

• Virulence 100%
• Pseudomonas aeruginosa 80%
• Learning 50%
• Bacterial Genome 20%
• Bacteremia 20%
• Aptitude 20%
• Infectious Agent 20%
• Accuracy 20%
• Phenotype 10%
• Electric Potential 10%
• Single-Nucleotide Polymorphism 10%
• Mouse 10%
• Random Forest 10%
• Genomic Signature 10%
• Species 10%