A convolutional neural network model for survival prediction based on prognosis-related cascaded Wx feature selection
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Example Datasets： /data/100
Including 7 types of cancer data, 100 gene features were obtained through the Cwx feature selection algorithm.
Training, Validation and Evaluation of CNN-Cox
Trainmodel.py: used to train our CNN-Cox model and 1D-CNNCox model under different numbers of gene signatures for 7 cancer types. example.ipynb: A running example of 100 gene signatures with Cwx feature selection under 7 cancer types. wx.py: Cwx feature selection algorithm. model.py: Our CNN-Cox model and 1D-CNNCox model and NN-Cox model.