Fig. 1: Overview of scPML.
From: scPML: pathway-based multi-view learning for cell type annotation from single-cell RNA-seq data
a scPML constructing cell-cell graphs using gene enrichment analysis with various pathways, yielding various cell-cell graphs marked with different colors. b Self-supervised GCN auto-encoder with the objective of recovering the masked units of processed expression data. The white grids are masked values which will be set to 0. c Obtaining common latent representation with multiple embeddings using multi-view learning. scPML attempts to find a common representation which can be reconstructed to according embeddings and has the quality of separability. After obtaining the common latent representations, scPML uses a classifier to assign labels.
