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Bookmark or Share- Bioconductor - SingleRDOI: 10.18129/B9.bioc.SingleR. Bioconductor version: Release (3.19) 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 independently.
- Chapter 1 Introduction | Assigning cell types with SingleRThe 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 - dviraran/SingleR: SingleR: Single-cell RNA-seq cell ...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.
- Reference-based analysis of lung single-cell sequencing ...A novel computational framework for the annotation of scRNA-seq by reference to bulk transcriptomes (SingleR) enabled the subclustering of macrophages and revealed a disease-associated subgroup...
- 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:
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