- recipe bioconductor-slalom
Factorial Latent Variable Modeling of Single-Cell RNA-Seq Data
- Homepage
https://bioconductor.org/packages/3.14/bioc/html/slalom.html
- License
GPL-2
- Recipe
slalom is a scalable modelling framework for single-cell RNA-seq data that uses gene set annotations to dissect single-cell transcriptome heterogeneity, thereby allowing to identify biological drivers of cell-to-cell variability and model confounding factors. The method uses Bayesian factor analysis with a latent variable model to identify active pathways (selected by the user, e.g. KEGG pathways) that explain variation in a single-cell RNA-seq dataset. This an R/C++ implementation of the f-scLVM Python package. See the publication describing the method at https://doi.org/10.1186/s13059-017-1334-8.
- package bioconductor-slalom¶
-
- Versions
1.16.0-1
,1.16.0-0
,1.14.0-0
,1.12.0-1
,1.12.0-0
,1.10.0-0
,1.8.0-0
,1.6.0-1
,1.4.1-0
,1.16.0-1
,1.16.0-0
,1.14.0-0
,1.12.0-1
,1.12.0-0
,1.10.0-0
,1.8.0-0
,1.6.0-1
,1.4.1-0
,1.4.0-0
- Depends
bioconductor-gseabase
>=1.56.0,<1.57.0
bioconductor-singlecellexperiment
>=1.16.0,<1.17.0
bioconductor-summarizedexperiment
>=1.24.0,<1.25.0
libblas
>=3.8.0,<4.0a0
libgcc-ng
>=10.3.0
liblapack
>=3.8.0,<4.0a0
libstdcxx-ng
>=10.3.0
r-base
>=4.1,<4.2.0a0
r-rcpp
>=0.12.8
- Required By
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-slalom
and update with:
conda update bioconductor-slalom
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-slalom:<tag>
(see bioconductor-slalom/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-slalom/README.html)