Amino Acid
SNP
amino acid
antimicrobial resistance
gene clustering
genome sequencing
k-mer counting
machine learning
nucleotide
Journal
Biology
ISSN: 2079-7737
Titre abrégé: Biology (Basel)
Pays: Switzerland
ID NLM: 101587988
Informations de publication
Date de publication:
28 Oct 2020
28 Oct 2020
Historique:
received:
21
09
2020
revised:
17
10
2020
accepted:
19
10
2020
entrez:
31
10
2020
pubmed:
1
11
2020
medline:
1
11
2020
Statut:
epublish
Résumé
Machine learning algorithms can learn mechanisms of antimicrobial resistance from the data of DNA sequence without any a priori information. Interpreting a trained machine learning algorithm can be exploited for validating the model and obtaining new information about resistance mechanisms. Different feature extraction methods, such as SNP calling and counting nucleotide
Identifiants
pubmed: 33126516
pii: biology9110365
doi: 10.3390/biology9110365
pmc: PMC7694136
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : National Science Foundation
ID : 1650431
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