read_data.py is for read in data; getcox.py is to calculate the cox-score of each gene when the dataset is given; also report the histogram of the cox-scores of genes; f.py will get the cox-regression result in the test dataset, while the PCA model is built on train dataset with the qualified genes; those genes have cox-score > or equal than the given threshold