guo.expr

guo.cell.meta

guo.gene.meta

Single cell expression data and meta data from Guo et al. (2012).
They investigated the expression of 48 genes in 500 mouse embryonic cells.

datasets

Implements the DeLorean model (Reid & Wernisch (2016)
<doi:10.1093/bioinformatics/btw372>) to estimate pseudotimes for
single cell expression data. The DeLorean model uses a Gaussian process
latent variable model to model uncertainty in the capture time of
cross-sectional data.

John Reid

DeLorean

Estimates Pseudotimes for Single Cell Expression Data

guo.expr function

There are three objects in this data:<ul>
<li>guo.expr A matrix of log expression values with
 no missing data. Rows are named by genes and columns are
 named by cells/samples.</li>
<li>guo.gene.meta A data frame containing meta-data
 about the genes.</li>
<li>guo.cell.meta A data frame containing meta-data
 about the cells</li>
</ul>

Format

Single cell expression data and meta data from Guo et al. (2012).
They investigated the expression of 48 genes in 500 mouse embryonic cells. — guo.expr

guo.expr: Single cell expression data and meta data from Guo et al. (2012). They investigated the expression of 48 genes in 500 mouse embryonic cells.

Description

Usage

Arguments

Format