A Novel Attention-Mechanism Based Cox Survival Model by Exploiting Pan-Cancer Empirical Genomic Information

A Novel Attention-Mechanism Based Cox Survival Model by Exploiting Pan-Cancer Empirical Genomic Information

Cancer prognosis is an essential goal for early diagnosis, biomarker selection, and medical therapy. In the past decade, deep learning has successfully solved a variety of biomedical problems. However, due to the high dimensional limitation of human cancer transcriptome data and the small number of...

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Detaylı Bibliyografya
Asıl Yazarlar: Xiangyu Meng, Xun Wang, Xudong Zhang, Chaogang Zhang, Zhiyuan Zhang, Kuijie Zhang, Shudong Wang
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: MDPI AG 2022-04-01
Seri Bilgileri:Cells
Konular:
deep learning
survival analysis
neural networks
Cox regression
cancer prognosis
Online Erişim:https://www.mdpi.com/2073-4409/11/9/1421

Internet

https://www.mdpi.com/2073-4409/11/9/1421

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