Identification of Cancer Driver Genes by Integrating Multiomics Data with Graph Neural Networks

Cancer is a heterogeneous disease that is driven by the accumulation of both genetic and nongenetic alterations, so integrating multiomics data and extracting effective information from them is expected to be an effective way to predict cancer driver genes. In this paper, we first generate comprehen...

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Detalles Bibliográficos
Autores principales: Song, Hongzhi, Yin, Chaoyi, Li, Zhuopeng, Feng, Ke, Cao, Yangkun, Gu, Yujie, Sun, Huiyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10052551/
https://www.ncbi.nlm.nih.gov/pubmed/36984779
http://dx.doi.org/10.3390/metabo13030339

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10052551/
https://www.ncbi.nlm.nih.gov/pubmed/36984779
http://dx.doi.org/10.3390/metabo13030339

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