Improving the identification of cancer driver modules using deep features learned from multi-omics data
Identifying the cancer driver modules or pathways is crucial to understanding the fundamental mechanisms of cancer occurrence and progression. The rapid abundance of cancer omics data provides unprecedented opportunities to study the driver modules in cancer, and many computational methods have been...
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Veröffentlicht in: | Computers in biology and medicine 2025-01, Vol.184, p.109322, Article 109322 |
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