kouno.expr

kouno.cell.meta

kouno.gene.meta

Kouno et al. investigated the transcriptional network controlling how
THP-1 human myeloid monocytic leukemia cells differentiate into
macrophages. They provide expression values for 45 genes in 960 single
cells captured across 8 distinct time points.

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

kouno.expr function

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

Format

Kouno et al. investigated the transcriptional network controlling how
THP-1 human myeloid monocytic leukemia cells differentiate into
macrophages. They provide expression values for 45 genes in 960 single
cells captured across 8 distinct time points. — kouno.expr

Kouno et al. investigated the transcriptional network controlling how
THP-1 human myeloid monocytic leukemia cells differentiate into
macrophages. They provide expression values for 45 genes in 960 single
cells captured across 8 distinct time points.

kouno.expr: Kouno et al. investigated the transcriptional network controlling how THP-1 human myeloid monocytic leukemia cells differentiate into macrophages. They provide expression values for 45 genes in 960 single cells captured across 8 distinct time points.

Description

Usage

Arguments

Format