Purpose
This package provides a very brief introduction to the use of Bioconductor packages and functions to work with single cell RNA-seq data.
Tasks in the first vignette include
- learning about SummarizedExperiment to manage multiple samples constituting reference expression data on selected cell types
- learning about SingleCellExperiment to work with expression patterns on thousands of cells
- using the SingleR package and function to train a classifier of cell types and label a sample of PBMCs assayed with TENx
- projecting expression patterns for visualization using approximate PCA
- using plotly to visualize clusters with labels
See “Articles” for further details.