Extended Data Fig. 1. Neural network architecture and optimization scheme.

This schematic representation shows the architecture of Sturgeon neural networks. Each network consists of one input layer and three fully connected layers. The input layer represents the 428,643 CpG sites as individual nodes. The two hidden layers consist of 256 and 128 nodes and in the final layer each tumor class is represented as an output node. Validation folds are used for temperature scaling and a final softmax scaling is applied to scale the sum of all output nodes to 1.