Consensus label propagation with graph convolutional networks for single-cell RNA sequencing cell type annotation

Daniel’s paper is now available online in Bioinformatics. Congratulations! Abstract Motivation: Single-cell RNA sequencing (scRNA-seq) data, annotated by cell type, is useful in a variety of downstream biological applications, such as profiling gene expression at the single-cell level. However, manually assigning these annotations with known marker genes is both time-consuming and subjective. Results: We present a Graph […]