Back to search

Article

Machine learning of all <i>Mycobacterium tuberculosis</i> H37Rv RNA-seq data reveals a structured interplay between metabolism, stress response, and infection

2021-07-02

Abstract excerpt

Mycobacterium tuberculosis is one of the most consequential human bacterial pathogens, posing a serious challenge to 21st century medicine. A key feature of its pathogenicity is its ability to adapt its transcriptional response to environmental stresses through its transcriptional regulatory network (TRN). While many studies have sought to characterize specific portions of the M. tuberculosis TRN, a systems level...

Topics

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

Identifiers and source

Literature Corpus work
82f487b0-4010-5937-a733-238fdcc57af0
DOI
10.1101/2021.07.01.450045
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.
Machine learning of all <i>Mycobacterium tuberculosis</i> H37Rv RNA-seq data reveals a structured interplay between metabolism, stress response, and infectionDOI 10.1101/2021.07.01.450045
Select a neighboring publication to make it the new centre.