David A. Clifton

Whole-genome sequencing for prediction of Mycobacterium tuberculosis drug susceptibility and resistance: a retrospective cohort study

Thomas A. Kohl, Shaheed Vally Omar, Jessica Hedge et al. · The Lancet Infectious Diseases · 2015 · 693 citations · Full text

Life Sciences, Genetics, Molecular Genetics +16

Identifying lineage effects when controlling for population structure improves power in bacterial association studies

Sarah G. Earle, Chieh‐Hsi Wu, Jane Charlesworth et al. · Nature Microbiology · 2016 · 318 citations · Full text

Life Sciences, Biostatistics, Genetics +15

The 2021 WHO catalogue of Mycobacterium tuberculosis complex mutations associated with drug resistance: a genotypic analysis

Paolo Miotto, Claudio U. Köser, Philip W. Fowler et al. · The Lancet Microbe · 2022 · 300 citations · Full text

Life Sciences, Infectious Diseases, Microbiology +17

Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data

Yang Yang, Katherine E. Niehaus, Zamin Iqbal et al. · Bioinformatics · 2017 · 162 citations · Full text

Public Health, Pharmacology, Antimicrobial Resistance +14

Application of machine learning techniques to tuberculosis drug resistance analysis

Samaneh Kouchaki, Yang Yang, A Sarah Walker et al. · Bioinformatics · 2018 · 109 citations · Full text

Public Health, Infectious Disease Control, Pharmacology +17