Fig. 3
From: A deep auto-encoder model for gene expression prediction
An Overall Workflow of the MLP-SAE Model. After pre-processing the input data, two layers of denoising autoencoders are used and the final regression layer produces the output of predicted gene expression quantification. The model is trained using pre-training and backpropagation for optimizing of the objective function