recipe bioconductor-sspaths

ssPATHS: Single Sample PATHway Score

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/ssPATHS.html

License:

MIT + file LICENSE

Recipe:

/bioconductor-sspaths/meta.yaml

This package generates pathway scores from expression data for single samples after training on a reference cohort. The score is generated by taking the expression of a gene set (pathway) from a reference cohort and performing linear discriminant analysis to distinguish samples in the cohort that have the pathway augmented and not. The separating hyperplane is then used to score new samples.

package bioconductor-sspaths

(downloads) docker_bioconductor-sspaths

versions:

1.16.0-01.14.0-01.12.0-01.8.0-01.6.0-01.4.0-11.4.0-01.2.0-01.0.0-0

depends bioconductor-summarizedexperiment:

>=1.32.0,<1.33.0

depends r-base:

>=4.3,<4.4.0a0

depends r-dml:

depends r-mess:

depends r-rocr:

requirements:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install bioconductor-sspaths

and update with::

   mamba update bioconductor-sspaths

To create a new environment, run:

mamba create --name myenvname bioconductor-sspaths

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

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

(see `bioconductor-sspaths/tags`_ for valid values for ``<tag>``)

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