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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...

詳細記述

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書誌詳細
出版年:Bioinformatics
主要な著者: Yang, Yang, Walker, Timothy M, Walker, A Sarah, Wilson, Daniel J, Peto, Timothy E A, Crook, Derrick W, Shamout, Farah, Zhu, Tingting, Clifton, David A
フォーマット: Artigo
言語:Inglês
出版事項: Oxford University Press 2019
主題:
オンライン・アクセス: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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