A deep learning framework for predicting disease-gene associations with functional modules and graph augmentation

A deep learning framework for predicting disease-gene associations with functional modules and graph augmentation

Abstract Background The exploration of gene-disease associations is crucial for understanding the mechanisms underlying disease onset and progression, with significant implications for prevention and treatment strategies. Advances in high-throughput biotechnology have generated a wealth of data link...

Full description

Saved in:
Bibliographic Details
Main Authors: Xianghu Jia, Weiwen Luo, Jiaqi Li, Jieqi Xing, Hongjie Sun, Shunyao Wu, Xiaoquan Su
Format: Article
Language:English
Published: BMC 2024-06-01
Series:BMC Bioinformatics
Subjects:
Gene-disease associations
Deep learning
Graph augmentation
Protein complexes
Graph neural networks
Online Access:https://doi.org/10.1186/s12859-024-05841-3
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12859-024-05841-3

Similar Items