A scalable sparse neural network framework for rare cell type annotation of single-cell transcriptome data
Sign Up to like & getrecommendations! Published in 2022 at "Communications Biology"
DOI: 10.1101/2022.06.22.497193
Abstract: Cell type annotation is critical to understand the cell population heterogeneity in the single-cell RNA sequencing (scRNA-seq) analysis. Due to their fast, precise, and user-friendly advantages, automatic annotation methods are gradually replacing traditional unsupervised clustering… read more here.
Keywords: cell; type annotation; rare cell; scbalance ... See more keywords