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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.
- BiocSingular
Bioconductor version: Release (3.19) Implements exact and...
- DelayedMatrixStats
A port of the 'matrixStats' API for use with DelayedMatrix...
- SingleCellExperiment
Bioconductor version: Release (3.19) Defines a S4 class for...
- Scater
Bioconductor version: Release (3.19) A collection of tools...
- singleCellTK
The Single Cell Toolkit (SCTK) in the singleCellTK package...
- BiocSingular
Puntuación: 4.9/5 ( 66 valoraciones ) El concepto "single" se refiere a una persona que, por la razón que sea, no tiene pareja estable. Algunos singles pueden optar por tener sexo con otras personas,sin que esto conlleve una relación de pareja. Sin embargo, otros pueden optar por llevar una vida de soltería sin sexo.
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.
本文介绍了如何使用singleR包对单细胞RNA-seq测序数据进行细胞类型自动注释，以及如何查看注释结果和数据。单细胞工具箱|singleR是一个用于对单细胞RNA-seq测序数据进行细胞类型自动注释的R包，提供了多种参考数据集和方法。
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 labels, it labels new cells from a test dataset based on similarity to the reference.
Learn how to use SingleR, a reference-based tool for automatic cell type annotation of scRNAseq data. Follow a step-by-step guide with code, data and tips for Seurat users.
14 de ene. de 2019 · SingleR assigns cellular identity for single cell transcriptomes by comparison to reference data sets of pure cell types sequenced by microarray or RNA-sequencing (RNA-seq).
