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.
[Dataset].
Figshare.
https://doi.org/10.6084/m9.figshare.16544185.v1
, 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.
[Dataset].
Figshare.
https://doi.org/10.6084/m9.figshare.16544185.v1
Accessions and phenotypic drug susceptibility profiles of isolates included in the benchmarking dataset.
Keywords
Tuberculosis, Drug resistance, Drug-susceptibility testing, Diagnostics, Whole genome sequencing, Machine learning, MDR-TB, XDR-TB| Item Type | Dataset |
|---|---|
| Capture method | Experiment |
| Date | 31 August 2021 |
| Language(s) of written materials | English |
| Creator(s) |
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 (-2019) |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Funders |
Project Funder Grant Number Funder URI |
| Date Deposited | 21 Sep 2021 09:21 |
| Last Modified | 21 Sep 2021 09:38 |
| Publisher | Figshare |
No files available. Please consult associated links.
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