dataLiver: scRNA-Seq data from Yang et al

In aet21/SCENT: Single Cell Entropy

scRNA-Seq data from Yang et al

Description

The data has been normalized for library-size with cell-dependent scale-factors, and has been log-transformed with a pseudocount of 1.1

Usage

data(dataLiver)

Format

Normalized and log-transformed scRNA-Seq data representing a differentiation timecourse of hepatoblasts into hepatocytes and cholangiocytes. Genes have been annotated to unique human Entrez gene IDs. There are 447 cells in total and 7 different timepoints (embryonic stages).

Details

Upon loading the data object, we find the following:

• scLiver.m: the scRNA-Seq data matrix.

• phenoLiver.v: a vector of timepoints matching the columns of scLiver.m.

• colorLiver.v: a color vector for the timepoints.

References

Yang L et al. A single-cell transcriptomic analysis reveals precise pathways and regulatory mechanisms underlying hepatoblast differentiation. Hepatology 2017.

aet21/SCENT documentation built on Aug. 1, 2022, 12:05 p.m.