Novel multi-omics deconfounding variational autoencoders can obtain meaningful disease subtyping

Samenvatting

TCGA pan-cancer mRNA and DNA data augmented with artificial confounders utilised in "Novel multi-omics deconfounding variational autoencoders can obtain meaningful disease subtyping" by Zuqi Li and Sonja Katz (manuscript in preparation).