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Fig. 1 | BioData Mining

Fig. 1

From: Colorectal cancer subtype identification from differential gene expression levels using minimalist deep learning

Fig. 1

The framework of DeepCSD. DeepCSD consists of two representation layers to extract deep features, two dropout layers, and a output layer. DeepCSD has 768 neurons in the first representation layer, 128 in the second representation layer, and 4 in the final layer because molecular subtyping of colorectal cancer is a four-class classification problem in our study

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