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Bioconductor - SingleR
https://bioconductor.org/packages/release/bioc/html/SingleR.html
WebReference-Based Single-Cell RNA-Seq Annotation. Bioconductor version: Release (3.18) 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.
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GitHub - dviraran/SingleR: SingleR: Single-cell RNA-seq cell …
https://github.com/dviraran/SingleR
WebHere, 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.
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Using SingleR to annotate single-cell RNA-seq data - Bioconductor
https://bioconductor.org/packages/release/bioc/vignettes/SingleR/inst/doc/SingleR.html
WebSingleR 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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Chapter 1 Introduction | Assigning cell types with SingleR
https://bioconductor.org/books/release/SingleRBook/introduction.html
WebThe 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.
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SingleR tutorial: easy cell type annotation - biostatsquid.com
https://biostatsquid.com/singler-tutorial/
WebSingleR 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 ...
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Tutorial: guidelines for annotating single-cell transcriptomic ... - Nature
https://www.nature.com/articles/s41596-021-00534-0
WebPublished: 24 May 2021. Tutorial: guidelines for annotating single-cell transcriptomic maps using automated and manual methods. Zoe A. Clarke, Tallulah S. Andrews, Jawairia Atif, Delaram...
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Reference-based analysis of lung single-cell sequencing ... - Nature
https://www.nature.com/articles/s41590-018-0276-y
WebJan 14, 2019 · 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...
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SingleR: Reference-Based Single-Cell RNA-Seq Annotation
https://rdrr.io/bioc/SingleR/
WebFeb 4, 2021 · SingleR: Reference-Based Single-Cell RNA-Seq Annotation 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.
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GitHub - LTLA/SingleR: Clone of the Bioconductor repository for …
https://github.com/LTLA/SingleR/
WebThe 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 advanced examples can be found in the SingleR book. Usage with Seurat/SingleCellExperiment objects.
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SingleR | Aran Lab @ Technion
https://aran-lab.com/software/singler/
WebAbout. People. News. Research. Software. Publications. Posts. Join. Contact. SingleR. Jan 1, 0001. CodeProjectBioconductor. Recent advances in single cell RNA-seq (scRNA-seq) have enabled an unprecedented level of granularity in characterizing gene expression changes in disease models.
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