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Timothy M Walker

Showing results (11-20 of 77) with videos related to

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Wellcome Open Research|December 7, 2020
Case Report: Disseminated, rifampicin resistant <i>Mycobacterium bovis</i> (BCG) infection in an immunocompromised childSimon B Drysdale, Dominic F Kelly, Marcus Morgan, et al.
The Lancet. Infectious Diseases|March 17, 2017
Tuberculosis is changingTimothy M Walker, Ana Louisa Gibertoni Cruz, Tim E Peto, et al.
Briefings in Bioinformatics|August 20, 2021
An end-to-end heterogeneous graph attention network for Mycobacterium tuberculosis drug-resistance predictionYang Yang, Timothy M Walker, Samaneh Kouchaki, et al.
The Lancet. Microbe|October 23, 2025
Evaluating 12 automated, whole-genome sequencing analysis pipelines for Mycobacterium tuberculosis complex: a comparative studyRuan Spies, Derrick W Crook, Timothy E A Peto, et al.
Frontiers in Microbiology|May 12, 2020
Multi-Label Random Forest Model for Tuberculosis Drug Resistance Classification and Mutation RankingSamaneh Kouchaki, Yang Yang, Alexander Lachapelle, et al.
Microbiology Spectrum|April 2, 2025
All parts of the WHO <i>Mycobacterium tuberculosis</i> mutation catalog need to be applied when evaluating its performanceSacha Laurent, Jody E Phelan, Leonid Chindelevitch, et al.
Bioinformatics (Oxford, England)|November 22, 2018
Application of machine learning techniques to tuberculosis drug resistance analysisSamaneh Kouchaki, Yang Yang, Timothy M Walker, et al.
Nature Communications|March 3, 2025
Multivariable regression models improve accuracy and sensitive grading of antibiotic resistance mutations in Mycobacterium tuberculosisSanjana G Kulkarni, Sacha Laurent, Paolo Miotto, et al.
Computational and Structural Biotechnology Journal|June 16, 2025
Deep learning-based framework for Mycobacterium tuberculosis bacterial growth detection for antimicrobial susceptibility testingHoang-Anh T Vo, Sang Nguyen, Ai-Quynh T Tran, et al.
Bioinformatics (Oxford, England)|January 29, 2019
DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosisYang Yang, Timothy M Walker, A Sarah Walker, et al.
Pageof 8

Showing results (11-20 of 77) with videos related to

Sort By:
Pageof 8
Wellcome Open Research|December 7, 2020
Case Report: Disseminated, rifampicin resistant <i>Mycobacterium bovis</i> (BCG) infection in an immunocompromised childSimon B Drysdale, Dominic F Kelly, Marcus Morgan, et al.
The Lancet. Infectious Diseases|March 17, 2017
Tuberculosis is changingTimothy M Walker, Ana Louisa Gibertoni Cruz, Tim E Peto, et al.
Briefings in Bioinformatics|August 20, 2021
An end-to-end heterogeneous graph attention network for Mycobacterium tuberculosis drug-resistance predictionYang Yang, Timothy M Walker, Samaneh Kouchaki, et al.
The Lancet. Microbe|October 23, 2025
Evaluating 12 automated, whole-genome sequencing analysis pipelines for Mycobacterium tuberculosis complex: a comparative studyRuan Spies, Derrick W Crook, Timothy E A Peto, et al.
Frontiers in Microbiology|May 12, 2020
Multi-Label Random Forest Model for Tuberculosis Drug Resistance Classification and Mutation RankingSamaneh Kouchaki, Yang Yang, Alexander Lachapelle, et al.
Microbiology Spectrum|April 2, 2025
All parts of the WHO <i>Mycobacterium tuberculosis</i> mutation catalog need to be applied when evaluating its performanceSacha Laurent, Jody E Phelan, Leonid Chindelevitch, et al.
Bioinformatics (Oxford, England)|November 22, 2018
Application of machine learning techniques to tuberculosis drug resistance analysisSamaneh Kouchaki, Yang Yang, Timothy M Walker, et al.
Nature Communications|March 3, 2025
Multivariable regression models improve accuracy and sensitive grading of antibiotic resistance mutations in Mycobacterium tuberculosisSanjana G Kulkarni, Sacha Laurent, Paolo Miotto, et al.
Computational and Structural Biotechnology Journal|June 16, 2025
Deep learning-based framework for Mycobacterium tuberculosis bacterial growth detection for antimicrobial susceptibility testingHoang-Anh T Vo, Sang Nguyen, Ai-Quynh T Tran, et al.
Bioinformatics (Oxford, England)|January 29, 2019
DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosisYang Yang, Timothy M Walker, A Sarah Walker, et al.
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