Fig. 3
From: HetEnc: a deep learning predictive model for multi-type biological dataset
(a) Principle Component Analysis (PCA) by features extracted by HetEnc and its three encoding networks: AE, CombNet and CrossNet. RNA-seq and Microarray samples are combined for PCA analysis. Green and red dots represent RNA-seq and Microarray samples, respectively. (b) A sample-wise scatter plot of PC2 correlation analysis between Microarray and RNA-seq platform