Back to search

Article

LaGrACE: Estimating gene program dysregulation using latent gene regulatory network for biomedical discovery

2024-05-02

Abstract excerpt

Gene expression programs that establish and maintain specific cellular states are orchestrated through a regulatory network composed of transcription factors, cofactors, and chromatin regulators. Dysregulation of this network can lead to a broad range of diseases by altering gene programs. This article presents LaGrACE, a novel method designed to estimate dysregulation of gene programs utilizing omics data with cl...

Topics

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

Identifiers and source

Literature Corpus work
b14ecfe6-d0e1-5ab2-bb9f-18bcd8687696
DOI
10.1101/2024.04.29.591756
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.
LaGrACE: Estimating gene program dysregulation using latent gene regulatory network for biomedical discoveryDOI 10.1101/2024.04.29.591756
Select a neighboring publication to make it the new centre.