OmiVAE, an end-to-end variational autoencoder with a classifier and chromosome-wise methylation encoding, reports 97.49% accuracy on 34-class TCGA pan-cancer classification and 97.88% on 33 tumor types.
Deep learning– based multi-omics integration robustly predicts survival in liver cancer,
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Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification
OmiVAE, an end-to-end variational autoencoder with a classifier and chromosome-wise methylation encoding, reports 97.49% accuracy on 34-class TCGA pan-cancer classification and 97.88% on 33 tumor types.