pbmc_small_raw_data: Single cell gene expression matrix of Peripheral Blood...

In charles-bernard/mage: Mine Associated Gene Expressions (from single-cell Rna Seq data)

Description

A dataset containing the raw count for 230 genes in 80 cells.

Usage

pbmc_small_raw_data

Format

A matrix with 230 rows (genes) and 80 columns (cells)

Details

This dataset is a reduced version of the PBMC dataset (2700 cells) freely available from 10X genomics at:

https://s3-us-west-2.amazonaws.com/10x.files/samples/cell/pbmc3k/pbmc3k_filtered_gene_bc_matrices.tar.gz

This dataset has been shorten by the Seurat R package to serve as canonical input for the code examples in the documentation of the functions

The Seurat R object corresponding to this example dataset can be found at:

https://github.com/satijalab/seurat/blob/master/data/pbmc_small.rda

This matrix has been produced by loading the Seurat R object and by extracting the raw count sparse matrix as follow:

pbmc_samall_raw_data <- data.matrix([e-mail]);

charles-bernard/mage documentation built on May 14, 2019, 2 a.m.