Figure 2
From: Integrated multi-omics analysis of ovarian cancer using variational autoencoders
Clustering of normal and cancer samples using the LFs learned using unsupervised PCA, t-SNE, VAE & MMD-VAE (using 2D for PCA & t-SNE and first 2 LFs for VAE and MMD-VAE) (a)–(d)) on DNA methylation (mono-omics) data from the GDC cohort. t-SNE was used (e,f) on the 128 learned LFs to identify 2 LFs for the clustering. Legends: 0—Normal, 1—Cancer.
