Unsupervised Classification of Multi-Omics Data during Cardiac Remodeling using Deep Learning.

•Metabolites and proteins respond to cardiac remodeling with coherent patterns.•Unsupervised deep learning (DL) helps uncover the temporal trends in multi-omics.•DL methods generated more biologically meaningful clusters than conventional methods.•DCEC, optimizing featuring learning and clustering jointly, outperformed other methods.