SMG: self-supervised masked graph learning for cancer gene identification

Cancer genomics is dedicated to elucidating the genes and pathways that contribute to cancer progression and development. Identifying cancer genes (CGs) associated with the initiation and progression of cancer is critical for characterization of molecular-level mechanism in cancer research. In recen...

Descripción completa

Detalles Bibliográficos
Autores principales: Cui, Yan, Wang, Zhikang, Wang, Xiaoyu, Zhang, Yiwen, Zhang, Ying, Pan, Tong, Zhang, Zhe, Li, Shanshan, Guo, Yuming, Akutsu, Tatsuya, Song, Jiangning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Problem Solving Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10639095/
https://www.ncbi.nlm.nih.gov/pubmed/37950905
http://dx.doi.org/10.1093/bib/bbad406

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10639095/
https://www.ncbi.nlm.nih.gov/pubmed/37950905
http://dx.doi.org/10.1093/bib/bbad406

Ejemplares similares