recipe bioconductor-sccomp

Robust Outlier-aware Estimation of Composition and Heterogeneity for Single-cell Data

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/sccomp.html

License:

GPL-3

Recipe:

/bioconductor-sccomp/meta.yaml

A robust and outlier-aware method for testing differential tissue composition from single-cell data. This model can infer changes in tissue composition and heterogeneity, and can produce realistic data simulations based on any existing dataset. This model can also transfer knowledge from a large set of integrated datasets to increase accuracy further.

package bioconductor-sccomp

Versions:

1.1.0-0

Depends:

• bioconductor-singlecellexperiment >=1.20.0,<1.21.0

• libblas >=3.9.0,<4.0a0

• libgcc-ng >=12

• liblapack >=3.9.0,<4.0a0

• libstdcxx-ng >=12

• r-base >=4.2,<4.3.0a0

• r-bh >=1.66.0

• r-boot

• r-dplyr

• r-forcats

• r-ggplot2

• r-ggrepel

• r-lifecycle

• r-magrittr

• r-patchwork

• r-purrr

• r-rcpp >=0.12.0

• r-rcppeigen >=0.3.3.3.0

• r-rcppparallel >=5.0.1

• r-readr

• r-rlang

• r-rstan >=2.18.1

• r-rstantools >=2.1.1

• r-scales

• r-seuratobject

• r-stanheaders >=2.18.0

• r-stringr

• r-tibble

• r-tidyr

• r-tidyselect

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-sccomp

and update with:

conda update bioconductor-sccomp

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-sccomp:<tag>

(see bioconductor-sccomp/tags for valid values for <tag>)

Download stats

Link to this page

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