Stacked Autoencoder Based Multi-Omics Data Integration for Cancer Survival Prediction
收藏DataCite Commons2026-01-07 更新2026-05-05 收录
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https://service.tib.eu/ldmservice/dataset/34430d9a-1818-4d1e-aaaf-1f5f75d64f51
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资源简介：
Cancer survival prediction is important for developing personalized treatments and inducing disease-causing mechanisms. In this study, we established a novel neural network named SAEsurv-net to integrate multi-omics data and predict death risk of patients with cancer.
提供机构：
TIB
创建时间：
2024-12-16
