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Bookmark or Share- SingleR: Reference-Based Single-Cell RNA-Seq AnnotationHere, 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 cell of origin of each of the single cells independently.
- Chapter 1 Introduction | Assigning cell types with SingleR - BioconductorThe 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 (single-cell or bulk) with known labels, it assigns those labels to new cells from a test dataset based on similarities in their expression profiles.
- GitHub - SingleR-inc/SingleR: Clone of the Bioconductor repository for ...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 cell of origin of each of the single cells independently.
- SingleR tutorial: easy cell type annotation - biostatsquid.comSingleR is a popular reference-based automatic cell type annotation tool used to predict cell identities from gene expression profiles. We will go step by step through the workflow, including preparing our input data, running SingleR, interpreting the results and some tips and tricks to get the most out of SingleR. You will learn how to: get ...
- Using SingleR to annotate single-cell RNA-seq data - BioconductorSingleR 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 labels, it labels new cells from a test dataset based on similarity to the reference.
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