chu: Single cell RNASeq and bulk RNASeq data of human embryonic...

In JunLiuLab/SIMPLEs: SIMPLEs: single-cell RNA sequencing imputation and cell clustering methods by modeling gene module variation

Description

Data from a study of human embryonic stem cell differentiation towards definitive endoderm. It includes both the single cell RNASeq and the bulk RNASeq data. Here we randomly choose part of the data.

Usage

data(chu)

Format

a list includes the following fields

chu_normalized_data

single cell RNASeq data, i.e., 3000 * 763 matrix with each row as gene and each column as cell. Each value is the log normalized gene expression.

chu_bulk_mean

the average expression of the 3000 genes in the bulk RNASeq data

differential_genes

3000 * 7 binary matrix. Each row is a gene, and each column is a unique cell type.

chu_cell_type

a character array with the length of 763.

Source

scRNA-Seq Datasets

References

Chu, L.F. et al., (2016) Genome Biology 17:1-20 (Genome Biology)

Examples

data(chu)
single_cell_data <- chu$chu_normalized_data
bulk_rna_data  <- chu$chu_bulk_mean
cell_type <- chu$chu_cell_type

JunLiuLab/SIMPLEs documentation built on March 18, 2021, 3:10 a.m.