Machine learning identifies signatures of host adaptation in the bacterial pathogen Salmonella enterica

Agriculture & Biology

• artificial intelligence 96%
• Salmonella enterica 93%
• pathogens 48%
• host range 39%
• serotypes 35%
• infection 32%
• immunocompromised population 30%
• pathovars 27%
• degradation 24%
• Salmonella Enteritidis 23%
• Sub-Saharan Africa 22%
• genes 21%
• Salmonella Typhimurium 19%
• public health 19%
• labor 17%
• niches 17%
• Salmonella 17%
• biochemical pathways 16%
• mutation 13%
• phenotype 13%
• monitoring 12%
• genomics 12%
• proteins 6%
• methodology 5%

Earth & Environmental Sciences

• salmonella 91%
• machine learning 81%
• pathogen 75%
• host range 61%
• infection 57%
• gene 46%
• mortality 30%
• degradation 26%
• phenotype 22%
• genomics 20%
• mutation 20%
• surveillance 19%
• niche 19%
• labor 19%
• train 19%
• public health 17%
• Africa 15%
• protein 14%
• method 4%

Medicine & Life Sciences

• Salmonella enterica 100%
• Machine Learning 92%
• Host Specificity 67%
• Serogroup 49%
• Infections 38%
• Salmonella enteritidis 37%
• Salmonella typhimurium 31%
• Africa South of the Sahara 30%
• Salmonella 28%
• Mortality 27%
• Metabolic Networks and Pathways 27%
• Genes 21%
• Datasets 21%
• Public Health 19%
• Phenotype 16%
• Mutation 15%
• Population 10%
• Proteins 9%