Article
SMG: self-supervised masked graph learning for cancer gene identification.
Briefings in bioinformatics - 22 Sept 2023
Cui Yan, Wang Zhikang, Wang Xiaoyu, Zhang Yiwen, Zhang Ying, Pan Tong, Zhang Zhe, Li Shanshan, Guo Yuming, Akutsu Tatsuya, Song Jiangning
Abstract excerpt
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 recent years, the growing availability of high-throughput molecular data and advancements in deep learning technologies...
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