Back to search

Article

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

2021-03-29

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Introduction</h4> Multidrug-resistant Mycobacterium tuberculosis ( Mtb ) is a significant global public health threat. Genotypic resistance prediction from Mtb DNA sequences offers an alternative to laboratory-based drug-susceptibility testing. User-friendly and accurate resistance prediction tools are needed to enable public health and clinical practitioners to rapidly diagnose resistan...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
df8f5f2a-e629-55c7-8901-261ea9db64f0
DOI
10.1101/2021.03.27.437319
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learningDOI 10.1101/2021.03.27.437319
Select a neighboring publication to make it the new centre.