Additional file 6 of DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data
收藏Figshare2021-07-15 更新2026-04-08 收录
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Additional File 6: Table S5. Significances of survival-clusters inferred using MAUI, MOFA+, and PCA as alternatives to the autoencoder module in DeepProg, on TCGA HCC and BRCA datasets.
补充文件6：表S5。针对癌症基因组图谱（The Cancer Genome Atlas, TCGA）的肝细胞癌（Hepatocellular Carcinoma, HCC）与乳腺浸润癌（Breast Invasive Carcinoma, BRCA）数据集，采用MAUI、MOFA+及主成分分析（Principal Component Analysis, PCA）作为DeepProg中自编码器模块（autoencoder module）的替代方案进行推断，所得生存聚类的显著性检验结果。
提供机构：
Garmire, Lana X.; Jing, Zheng; Chaudhary, Kumardeep; Huang, Sijia; Poirion, Olivier B.
创建时间：
2021-07-15
