Population structure, biogeography and transmissibility of Mycobacterium tuberculosis
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DOI: 10.1038/s41467-021-26248-1
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- Maha R. Farhat & Luca Freschi & Roger Calderon & Thomas Ioerger & Matthew Snyder & Conor J. Meehan & Bouke de Jong & Leen Rigouts & Alex Sloutsky & Devinder Kaur & Shamil Sunyaev & Dick van Soolingen , 2019. "GWAS for quantitative resistance phenotypes in Mycobacterium tuberculosis reveals resistance genes and regulatory regions," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
- Dray, Stéphane & Dufour, Anne-Béatrice, 2007. "The ade4 Package: Implementing the Duality Diagram for Ecologists," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 22(i04).
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- Anna G. Green & Chang Ho Yoon & Michael L. Chen & Yasha Ektefaie & Mack Fina & Luca Freschi & Matthias I. Gröschel & Isaac Kohane & Andrew Beam & Maha Farhat, 2022. "A convolutional neural network highlights mutations relevant to antimicrobial resistance in Mycobacterium tuberculosis," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
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