Fig. 1From: Combining gene ontology with deep neural networks to enhance the clustering of single cell RNA-Seq dataGene Ontology Autoencoder (GOAE) model architecture. BPm and MFn are the GO-term neurons corresponding to biological process and molecular function category respectively. These neurons partially connected with the input layer. Node d is the full connected neurons. gi represents the input gene in the given datasetBack to article page