Heterogeneous Graph Attention Network With Multimodal Feature Selection for Cancer Multiomics Integration
arXiv:2408.02845v2 Announce Type: replace Abstract: The increase in high-dimensional multiomics data demands advanced integration models to capture the complexity of human diseases. Graph-based deep learning integration models, despite their promise, struggle with small patient cohorts and high-dim…
Read the full story at arXiv cs.LG ↗
Timeline · 1 report
- 2026-11-04 05:00 · arXiv cs.LG
Heterogeneous Graph Attention Network With Multimodal Feature Selection for Cancer Multiomics Integration