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. 2021 Nov 12;23(1):bbab454. doi: 10.1093/bib/bbab454

Figure 4.

Figure 4

Overview of DL methods for multi-omics data analysis. The methods are groups based on their applications and colored as their pipeline components of dimensionality reduction, using DL (e.g. autoencoder), feature selection and domain knowledge incorporation (e.g. pathway databases). MOLI, multi-omics late integration; iSOM-GSN, self-organizing maps with gene similarity network; MORONET, multi-omics graph convolutional networks; MINet, a gene- and pathway-based deep neural network.