Acute Myeloid Leukemia Risk Group Prediction from Gene Expression Data with Feed-Forward Neural Networks

This repository includes the following supplementary files.

config_set.txt

• 100 randomly chosen network configurations
• layers: number of hidden layers in the network
• units: number of hidden units in each hidden layer
• drop: rate for randomly removing nodes in each layer
• lr: the learning rate
• batch_size: number of training samples for each epoch

important_genes.txt

• List of 109 genes selected with RFE

laml_data.zip

• A zip file including the gene expression data (laml.csv)