Stacked Autoencoder Based Multi-Omics Data Integration for Cancer Survival Prediction

1 code implementation • 8 Jul 2022 • Xing Wu, Qiulian Fang

In the cancer survival prediction for TCGA cases, SAEsurv-net addresses the curse of dimensionality with a two-stage dimensionality reduction strategy and handles multi-omics heterogeneity with a stacked autoencoder model.

Data Integration Dimensionality Reduction +1