recipe bioconductor-pareg

Pathway enrichment using a regularized regression approach

Homepage:

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

License:

GPL-3

Recipe:

/bioconductor-pareg/meta.yaml

Compute pathway enrichment scores while accounting for term-term relations. This package uses a regularized multiple linear regression to regress differential expression p-values obtained from multi-condition experiments on a pathway membership matrix. By doing so, it is able to incorporate additional biological knowledge into the enrichment analysis and to estimate pathway enrichment scores more robustly.

package bioconductor-pareg

Versions:

1.2.0-0

Depends:

• bioconductor-dose >=3.24.0,<3.25.0

• r-base >=4.2,<4.3.0a0

• r-dplyr

• r-furrr

• r-ggplot2

• r-ggraph

• r-glue

• r-igraph

• r-keras

• r-magrittr

• r-matrix

• r-matrixlaplacian

• r-nloptr

• r-progress

• r-proxy

• r-purrr

• r-reticulate

• r-rlang

• r-shadowtext

• r-stringr

• r-tensorflow >=2.2.0

• r-tfprobability >=0.10.0

• r-tibble

• r-tidygraph

• r-tidyr

Required By:

Installation

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

conda install bioconductor-pareg

and update with:

conda update bioconductor-pareg

or use the docker container:

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

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

Download stats

Link to this page

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