Predict/Classify the survival (OS event) in colorectal cancer after liver surgery
In Classification folder we performed ML only on clinical data, and then on clinical data + mutation data (both reduced by the feature selection):
- SVC.ipynb and KNN_RF.ipynb classify only on clinical data (reduced with RFE) and they are in python
- RFE_R.R makes the recursive feature selection on mutations (mutations.csv) and select 4 important genes
- ClassificationD1_D2.R make classification on the merged dataset (merged.csv) -> reduced clinical data + reduced mutation data