Benchmarking joint multi-omics dimensionality reduction approaches for the study of cancer

Abstract

Advances in omics technology have resulted in the generation of multi-view data for cancer samples. Here, the authors compare dimensionality reduction techniques using simulated and TCGA data and identify the features of the methods with superior performance.