windram.expr

windram.cell.meta

windram.gene.meta

Windram et al. investigated the defense response in Arabidopsis
thaliana to the necrotrophic fungal pathogen Botrytis cinerea.
They collected data at 24 time points in two conditions for
30336 genes.

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

windram.expr function

There are three objects in this data:<ul>
<li>windram.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>windram.gene.meta A data frame containing meta-data
 about the genes.</li>
<li>windram.cell.meta A data frame containing meta-data
 about the cells</li>
</ul>

Format

Windram et al. investigated the defense response in Arabidopsis
thaliana to the necrotrophic fungal pathogen Botrytis cinerea.
They collected data at 24 time points in two conditions for
30336 genes. — windram.expr

Windram et al. investigated the defense response in Arabidopsis
thaliana to the necrotrophic fungal pathogen Botrytis cinerea.
They collected data at 24 time points in two conditions for
30336 genes.

windram.expr: Windram et al. investigated the defense response in Arabidopsis thaliana to the necrotrophic fungal pathogen Botrytis cinerea. They collected data at 24 time points in two conditions for 30336 genes.

Description

Usage

Arguments

Format