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Fig. 1 | BMC Cancer

Fig. 1

From: PDAC-ANN: an artificial neural network to predict pancreatic ductal adenocarcinoma based on gene expression

Fig. 1

Artificial neural network architecture. A graphical representation of a fully connected artificial intelligence algorithm (PDAC-ANN). PDAC-ANN is a set of mathematical equations; in each layer, it transforms expression values up to the last layer. The expression values from AHNAK2, KRT19, LAMB2, LAMC2, and S100P genes are data inserted in the input layer (green neurons), the hidden layers (blue neurons) process the expression values, and the output layer (red neurons) give the classification in normal or PDAC sample as a probability

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