Back to search

Article

Common gene signature model discovery and systematic validation for TB prognosis and response to treatment

2022-11-30

Abstract excerpt

<h4>ABSTRACT</h4> While blood gene signatures have shown promise in tuberculosis (TB) diagnosis and treatment monitoring, most signatures derived from a single cohort may be insufficient to capture TB heterogeneity in populations and individuals. Here we report a new generalized approach combining a network-based meta-analysis with machine-learning modeling to leverage the power of heterogeneity among studies. Th...

Topics

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

Identifiers and source

Literature Corpus work
79008b7d-cf0e-50cc-8279-c0420012b0ec
DOI
10.1101/2022.11.28.518302
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.
Common gene signature model discovery and systematic validation for TB prognosis and response to treatmentDOI 10.1101/2022.11.28.518302
Select a neighboring publication to make it the new centre.