Machine Learning Predicts Accurately Mycobacterium tuberculosis Drug Resistance From Whole Genome Sequencing Data
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Title
Machine Learning Predicts Accurately Mycobacterium tuberculosis Drug Resistance From Whole Genome Sequencing Data
Authors
Keywords
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Journal
Frontiers in Genetics
Volume 10, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2019-09-26
DOI
10.3389/fgene.2019.00922
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Related references
Note: Only part of the references are listed.- Beyond multidrug resistance: Leveraging rare variants with machine and statistical learning models in Mycobacterium tuberculosis resistance prediction
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- (2018) Samaneh Kouchaki et al. BIOINFORMATICS
- Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks
- (2017) Paras Lakhani et al. RADIOLOGY
- New Insights in to the Intrinsic and Acquired Drug Resistance Mechanisms in Mycobacteria
- (2017) Mohammad J. Nasiri et al. Frontiers in Microbiology
- The epidemiology, pathogenesis, transmission, diagnosis, and management of multidrug-resistant, extensively drug-resistant, and incurable tuberculosis
- (2017) Keertan Dheda et al. Lancet Respiratory Medicine
- Genetic Determinants of Drug Resistance inMycobacterium tuberculosisand Their Diagnostic Value
- (2016) Maha R. Farhat et al. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE
- Rapid determination of anti-tuberculosis drug resistance from whole-genome sequences
- (2015) Francesc Coll et al. Genome Medicine
- Evolution of Drug Resistance in Tuberculosis: Recent Progress and Implications for Diagnosis and Therapy
- (2014) Andrej Trauner et al. DRUGS
- Can Molecular Methods Detect 1% Isoniazid Resistance in Mycobacterium tuberculosis?
- (2013) D. B. Folkvardsen et al. JOURNAL OF CLINICAL MICROBIOLOGY
- Evolution of high-level ethambutol-resistant tuberculosis through interacting mutations in decaprenylphosphoryl-β-D-arabinose biosynthetic and utilization pathway genes
- (2013) Hassan Safi et al. NATURE GENETICS
- Efflux Pumps of Mycobacterium tuberculosis Play a Significant Role in Antituberculosis Activity of Potential Drug Candidates
- (2012) Meenakshi Balganesh et al. ANTIMICROBIAL AGENTS AND CHEMOTHERAPY
- Random forests for genomic data analysis
- (2012) Xi Chen et al. GENOMICS
- The MycoBrowser portal: A comprehensive and manually annotated resource for mycobacterial genomes
- (2010) Adamandia Kapopoulou et al. TUBERCULOSIS
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