Back to search

Article

Large-scale, interpretable gene regulatory network inference through biologically informed matrix factorization

2026-07-16

Abstract excerpt

Gene regulatory networks (GRNs) provide a mechanistic framework for understanding how transcription factors coordinate gene expression to establish cellular identity and phenotype. Methods that integrate gene expression with motif-derived regulatory priors and other sources of biological information have substantially advanced gene regulatory network inference by reconstructing condition-specific regulatory archit...

Topics

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

Identifiers and source

Literature Corpus work
d8ed70b0-4a4a-562f-8eaa-dabae9cb27f6
DOI
10.64898/2026.07.15.738791
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.
Large-scale, interpretable gene regulatory network inference through biologically informed matrix factorizationDOI 10.64898/2026.07.15.738791
Select a neighboring publication to make it the new centre.