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A pan-genome-based machine learning approach for predicting antimicrobial resistance activities of the Escherichia coli strains
Hsuan Lin Her,
Yu Wei Wu
Graduate Institute of Biomedical Informatics
TMU Research Center of Artificial Intelligence in Medicine and Health
TMU Research Center for Digestive Medicine
Research output
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Contribution to journal
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Article
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peer-review
75
Citations (Scopus)
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Dive into the research topics of 'A pan-genome-based machine learning approach for predicting antimicrobial resistance activities of the Escherichia coli strains'. Together they form a unique fingerprint.
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Biochemistry, Genetics and Molecular Biology
Escherichia coli
100%
Pan-Genome
100%
Antibiotic Resistance
100%
Genetic Algorithm
25%
Gene Cluster
25%
Infectious Agent
12%
Immunology and Microbiology
Escherichia coli
100%
Antimicrobial Resistance
100%
Genetic Algorithm
25%
Gene Cluster
25%
Infectious Agent
12%