ICDM-GEHC: identifying cancer driver module based on graph embedding and hierarchical clustering
Abstract Due to the high heterogeneity of cancers, it is rather essential to explore driver modules with the help of gene mutation data as well as known interactions between genes/proteins. Unfortunately, latent false positive interactions are inevitable in the Protein-Protein Interaction (PPI) netw...
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| Main Authors: | , , , , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
Springer
2024-02-01
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| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-023-01328-5 |
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