Fig. 1From: Colorectal cancer subtype identification from differential gene expression levels using minimalist deep learningThe 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 studyBack to article page