Machine learning identifies signatures of host adaptation in the bacterial pathogen Salmonella enterica
기계 학습은 박테리아 병원체 Salmonella enterica에서 숙주 적응의 신호를 식별합니다
Research Article
[키워드] analyses
Analysis
approach
architecture
Atypical
bacterial pathogen
Bacterial pathogens
bacterial specy
build
captures
change
changes in
Classifier
complex interaction
continuum
convergence
data sets
Degradation
detect
disease
disease phenotype
Disease surveillance
dissect
enrichment
Epidemic
epidemiological purposes
functional
Gastrointestinal infection
Genes
genome sequence
genomic data
high mortality
HIV
host adaptation
host range
identify
Immunocompromised
implementation
Inclusion
Infection
input
invasive
invasive disease
lead
Lineage
lineages
machine
member
metabolic pathway
metabolic pathways
Mortality
Mutation
New
outcome
pathogen
pathogenic
Pathogens
phenotype
Population
predict
Predictive
protein coding gene
protein coding genes
public health
random
Random forest
rare variant
Rare variants
required
Salmonella
Salmonella Enteritidis
scaled
sequence
Sequencing
shift
species
strain
Strains
sub-Saharan Africa
Surveillance
[DOI] 10.1371/journal.pgen.1007333 PMC 바로가기 [Article Type] Research Article
[DOI] 10.1371/journal.pgen.1007333 PMC 바로가기 [Article Type] Research Article