Fig. 5: Visualization and analysis of DNN features for gene expression prediction task after training the network.
From: Revealing hidden patterns in deep neural network feature space continuum via manifold learning
L1-L4 denote the features of the first to fourth MLP layers. t-SNE, UMAP and MDA results are shown in (a–c) respectively for training and testing datasets at different network layers. The colorbar denotes the normalized manifold distance. d Pearson correlations between the geodesic distances among feature data points in HD and low dimensional representation from different methods are shown for training and testing data. Source data are provided as a Source Data file.
