Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data
Fig 1
An overview of the optimized Cox-nnet neural network architecture used in this study.
Cox-nnet is composed of one hidden layer and an output “Cox-regression” layer. It is optimized to work on high dimensional gene expression data. The model is trained to minimize the partial log likelihood using back-propagation.