DeePathNet: A Transformer-Based Deep Learning Model Integrating Multiomic Data with Cancer Pathways

Cancer Res Commun. 2024 Dec 1;4(12):3151-3164. doi: 10.1158/2767-9764.CRC-24-0285.

Abstract

DeePathNet integrates cancer-specific biological pathways using transformer-based deep learning for enhanced cancer analysis. It outperforms existing models in predicting drug responses, cancer types, and subtypes. By enabling pathway-level biomarker discovery, DeePathNet represents a significant advancement in cancer research and could lead to more effective treatments.

MeSH terms

  • Biomarkers, Tumor / genetics
  • Biomarkers, Tumor / metabolism
  • Computational Biology / methods
  • Deep Learning*
  • Humans
  • Neoplasms* / metabolism

Substances

  • Biomarkers, Tumor