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DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis
MOTIVATION: Resistance co-occurrence within first-line anti-tuberculosis (TB) drugs is a common phenomenon. Existing methods based on genetic data analysis of Mycobacterium tuberculosis (MTB) have been able to predict resistance of MTB to individual drugs, but have not considered the resistance co-o...
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| Gepubliceerd in: | Bioinformatics |
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| Hoofdauteurs: | , , , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Oxford University Press
2019
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6748723/ https://ncbi.nlm.nih.gov/pubmed/30689732 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btz067 |
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