scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics

Abstract

Making sense of the rapidly growing single-cell omics datasets available is limited by difficulties in leveraging disparate datasets in analyses. Here, the authors present scGCN, a graph based convolutional network to allow effective knowledge transfer across omics datasets.