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Numerous experiment results demonstrate that the proposed method exhibits superior performance to four cutting-edge identification methods in most cases regarding the capability of recognizing the acknowledged cancer-related genes, generating modules having relatively high coverage and mutual exclusivity, and are significantly enriched for specific types of cancers. The majority of the genes in the identified modules are involved in cancer-related signaling pathways, or have been reported to be carcinogenic in the literature. Furthermore, many cancer related genes detected by the proposed method are actually omitted by the four comparison methods, which has been verified in the experiments.<\/jats:p>","DOI":"10.1007\/s40747-023-01328-5","type":"journal-article","created":{"date-parts":[[2024,2,3]],"date-time":"2024-02-03T15:02:09Z","timestamp":1706972529000},"page":"3411-3427","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["ICDM-GEHC: identifying cancer driver module based on graph embedding and hierarchical clustering"],"prefix":"10.1007","volume":"10","author":[{"given":"Shiyu","family":"Deng","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4951-6908","authenticated-orcid":false,"given":"Jingli","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Gaoshi","family":"Li","sequence":"additional","affiliation":[]},{"given":"Jiafei","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Yumeng","family":"Zhao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,2,3]]},"reference":[{"issue":"3","key":"1328_CR1","doi-asserted-by":"publisher","first-page":"872","DOI":"10.1093\/bioinformatics\/btz655","volume":"36","author":"R Ahmed","year":"2019","unstructured":"Ahmed R, Baali I, Erten C et al (2019) Mexcowalk: mutual exclusion and coverage based random walk to identify cancer modules. 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