Start Re-training

The Re-training algorithm can predict the risk of relapse (survival) for a breast cancer patient. It derives and employs an optimized personalized classifier for each case by using only the molecularly most similar subset of training samples for predictor building. It also computes ER and HER2 status.


A pre-selected .CEL file with clinical data will be loaded for the analysis. You do not need to set any of the above parameters.


Note: you must have a PDF reader installed to view the generated report.