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

/bioconductor-slalom/meta.yaml

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-bh

• r-ggplot2

• r-rcpp >=0.12.8

• r-rcpparmadillo

• r-rsvd

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

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