Additional file 1 of GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learning

Gröschel, MI, Owens, M, Freschi, L, Vargas, R, Marin, MG, Phelan, J, Iqbal, Z, Dixit, A and Farhat, MR. 2021. Additional file 1 of GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learning. [Online]. Figshare. Available from: https://doi.org/10.6084/m9.figshare.16544185.v1

Gröschel, MI, Owens, M, Freschi, L, Vargas, R, Marin, MG, Phelan, J, Iqbal, Z, Dixit, A and Farhat, MR. Additional file 1 of GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learning [Internet]. Figshare; 2021. Available from: https://doi.org/10.6084/m9.figshare.16544185.v1

Gröschel, MI, Owens, M, Freschi, L, Vargas, R, Marin, MG, Phelan, J, Iqbal, Z, Dixit, A and Farhat, MR (2021). Additional file 1 of GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learning. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.16544185.v1

Methods

Data capture method	Experiment
Date (Date published in a 3rd party system)	31 August 2021
Language(s) of written materials	English

People & Groups

Data Creators	Gröschel, MI, Owens, M, Freschi, L, Vargas, R, Marin, MG, Phelan, J, Iqbal, Z, Dixit, A and Farhat, MR
LSHTM Faculty/Department	Faculty of Infectious and Tropical Diseases > Dept of Pathogen Molecular Biology
Participating Institutions	London School of Hygiene & Tropical Medicine, London, United Kingdom