/dpl

Primary LanguagePython

This program is for gene network inferrence using Deep Belief Networks and Stacked Autoencoder

1:Prepare files --first devide csv file into 1 and 0(devide_csv_file.py) --get_samples_How many genes do you use? How much ratio for test?(get_samples.py) --dbn_200_all_sort.py, sda.py, sda_dropout.py --Above are mainly compiled scripts