Performs unbiased cell type recognition from single-cell RNA sequencing data, by leveraging reference transcriptomic datasets of pure cell types to infer the cell of origin of each single cell …

SingleR is an automatic annotation method for single-cell RNA sequencing (scRNAseq) data (Aran et al. 2019). Given a reference dataset of samples (single-cell or bulk) with known …

Here, we present SingleR, a novel computational method for unbiased cell type recognition of scRNA-seq. SingleR leverages reference transcriptomic datasets of pure cell types to infer the …

The Bioconductor package SingleR implements an automatic annotation method for single-cell RNA sequencing (scRNA-seq) data (Aran et al. 2019). Given a reference dataset of samples …

The SingleR() function annotates each cell in a test dataset given a reference dataset with known labels. Documentation and basic examples can be accessed with ?SingleR. Both basic and …

2024年5月13日 · We will now use a package called SingleR to label each cell. SingleR uses a reference data set of cell types with expression data to infer the best label for each cell. A …

In this easy, step-by-step tutorial you will learn how to to do cell type annotation with the R package SingleR. SingleR is a popular reference-based automatic cell type annotation tool …