Fig. 2From: A deep auto-encoder model for gene expression predictionAn Overview of Our MLP-DAE Model. The input layers takes the pre-processed data. The auto-encoder1 and auto-encoder2 serve as hidden layers for the prediction model and are trained using back propagation. The output layer is built on a regression model to make the final predictionsBack to article page