MoAGL-SA: a multi-omics adaptive integration method with graph learning and self attention for cancer subtype classification
Abstract Background The integration of multi-omics data through deep learning has greatly improved cancer subtype classification, particularly in feature learning and multi-omics data integration. However, key challenges remain in embedding sample structure information into the feature space and des...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-11-01
|
| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12859-024-05989-y |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!