Back to search

Article

Uncovering miRNA-Disease Associations Through Graph Based Neural Network Representations

2026-01-12

Abstract excerpt

<h4>Background: </h4> MicroRNAs (miRNAs) are an important class of non-coding RNAs that regulate gene expression by binding to target mRNAs and influencing cellular processes such as differentiation, proliferation, and apoptosis. Dysregulation in miRNA expression has been reported to be implicated in many human diseases, including cancer, cardiovascular, and neurodegenerative disorders. Identifying disease-related...

Topics

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

Identifiers and source

Literature Corpus work
da8ea011-dcf0-5197-aa55-3d5f1ab48a61
DOI
10.20944/preprints202601.0847.v1
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.
Uncovering miRNA-Disease Associations Through Graph Based Neural Network RepresentationsDOI 10.20944/preprints202601.0847.v1
Select a neighboring publication to make it the new centre.