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MTGCL: Multi-Task Graph Contrastive Learning for Identifying Cancer Driver Genes from Multi-omics Data

2023-10-17

Abstract excerpt

Cancer is a complex disease that typically arises from the accumulation of mutations in driver genes. Identification of cancer driver genes is crucial for understanding the molecular mechanisms of cancer, and developing the targeted therapeutic approaches. With the development of high-throughput biological technology, a large amount of genomic data and protein interaction network data have been generated, which pr...

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Literature Corpus work
0e3f18d9-0304-53b9-9a01-8640f3ec7e38
DOI
10.1101/2023.10.13.562159
Open publication

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MTGCL: Multi-Task Graph Contrastive Learning for Identifying Cancer Driver Genes from Multi-omics DataDOI 10.1101/2023.10.13.562159
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