Multi-Label Random Forest Model for Tuberculosis Drug Resistance Classification and Mutation Ranking

Resistance prediction and mutation ranking are important tasks in the analysis of Tuberculosis sequence data. Due to standard regimens for the use of first-line antibiotics, resistance co-occurrence, in which samples are resistant to multiple drugs, is common. Analysing all drugs simultaneously shou...

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Bibliographic Details

Published in:	Frontiers in microbiology Vol. 11; p. 667
Main Authors:	Kouchaki, Samaneh, Yang, Yang, Lachapelle, Alexander, Walker, Timothy M., Walker, A. Sarah, Peto, Timothy E. A., Crook, Derrick W., Clifton, David A.
Format:	Journal Article
Language:	English
Published:	Switzerland Frontiers Media S.A 22.04.2020
Subjects:	drug resistance Microbiology MLRF mutation ranking SLRF tuberculosis mutation ranking SLRF drug resistance MLRF tuberculosis
ISSN:	1664-302X, 1664-302X
Online Access:	Get full text
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