This is the development version of lemur; for the stable release version, see lemur.
Latent Embedding Multivariate RegressionBioconductor version: Development (3.22)
Fit a latent embedding multivariate regression (LEMUR) model to multi-condition single-cell data. The model provides a parametric description of single-cell data measured with treatment vs. control or more complex experimental designs. The parametric model is used to (1) align conditions, (2) predict log fold changes between conditions for all cells, and (3) identify cell neighborhoods with consistent log fold changes. For those neighborhoods, a pseudobulked differential expression test is conducted to assess which genes are significantly changed.
Author: Constantin Ahlmann-Eltze [aut, cre] ORCID: 0000-0002-3762-068X
Maintainer: Constantin Ahlmann-Eltze <artjom31415 at googlemail.com>
Citation (from within R, entercitation("lemur")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("lemur")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("lemur")Follow Installation instructions to use this package in your R session.
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