MONet: cancer driver gene identification algorithm based on integrated analysis of multi-omics data and network models
Cancer progression is orchestrated by the accrual of mutations in driver genes, which endow malignant cells with a selective proliferative advantage. Identifying cancer driver genes is crucial for elucidating the molecular mechanisms of cancer, advancing targeted therapies, and uncovering novel biom...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-02-01
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| Series: | Experimental Biology and Medicine |
| Subjects: | |
| Online Access: | https://www.ebm-journal.org/articles/10.3389/ebm.2025.10399/full |
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