lemur
This is the released version of lemur; for the devel version, see lemur.
Latent Embedding Multivariate Regression
Bioconductor version: Release (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 iD ORCID: 0000-0002-3762-068X
Maintainer: Constantin Ahlmann-Eltze <artjom31415 at googlemail.com>
citation("lemur")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("lemur")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("lemur")
Details
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Follow Installation instructions to use this package in your R session.