HybridGNN: a graph neural network approach for human miRNA-disease association prediction.

Abstract excerpt

MOTIVATION: MicroRNAs (miRNAs) are small non-coding RNAs, typically 18-24 nucleotides in length, that play a pivotal role in RNA silencing and the post-transcriptional regulation of gene expression by targeting messenger RNAs (mRNAs). Dysregulation of these miRNAs has consistently been implicated in the onset and progression of a variety of complex human diseases. RESULTS: In this study, we propose a novel...

Topics

Join the communities discussing this publication.

• Algorithms
• Computational Biology
• Genetic Predisposition to Disease
• MicroRNAs
• Neural Networks, Computer