I read your paper 'A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns'. I would like to reproduce the result from this paper by training the random forest and neural network model you provided here.
I would be glad if you could provide me the value of each feature (that you mentioned in Table 2: WGS feature types used in classifier) for PCAWG training and test datasets in a format that can directly be used to train and test the models. The feature vectors for the independent validation dataset would also be very helpful.
I read your paper 'A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns'. I would like to reproduce the result from this paper by training the random forest and neural network model you provided here.
I would be glad if you could provide me the value of each feature (that you mentioned in Table 2: WGS feature types used in classifier) for PCAWG training and test datasets in a format that can directly be used to train and test the models. The feature vectors for the independent validation dataset would also be very helpful.