recipe bioconductor-quaternaryprod

Computes the Quaternary Dot Product Scoring Statistic for Signed and Unsigned Causal Graphs

Homepage:

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

License:

GPL (>=3)

Recipe:

/bioconductor-quaternaryprod/meta.yaml

Links:

biotools: quaternaryprod

QuaternaryProd is an R package that performs causal reasoning on biological networks, including publicly available networks such as STRINGdb. QuaternaryProd is an open-source alternative to commercial products such as Inginuity Pathway Analysis. For a given a set of differentially expressed genes, QuaternaryProd computes the significance of upstream regulators in the network by performing causal reasoning using the Quaternary Dot Product Scoring Statistic (Quaternary Statistic), Ternary Dot product Scoring Statistic (Ternary Statistic) and Fisher's exact test (Enrichment test). The Quaternary Statistic handles signed, unsigned and ambiguous edges in the network. Ambiguity arises when the direction of causality is unknown, or when the source node (e.g., a protein) has edges with conflicting signs for the same target gene. On the other hand, the Ternary Statistic provides causal reasoning using the signed and unambiguous edges only. The Vignette provides more details on the Quaternary Statistic and illustrates an example of how to perform causal reasoning using STRINGdb.

package bioconductor-quaternaryprod

versions:

1.36.0-0,  1.34.0-0,  1.32.0-2,  1.32.0-1,  1.32.0-0,  1.28.0-2,  1.28.0-1,  1.28.0-0,  1.26.0-0, 

1.36.0-0,  1.34.0-0,  1.32.0-2,  1.32.0-1,  1.32.0-0,  1.28.0-2,  1.28.0-1,  1.28.0-0,  1.26.0-0,  1.24.0-1,  1.24.0-0,  1.22.0-0,  1.20.0-0,  1.18.0-1,  1.18.0-0,  1.16.0-0,  1.14.0-0,  1.6.0-0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc-ng:

>=12

depends liblapack:

>=3.9.0,<4.0a0

depends libstdcxx-ng:

>=12

depends r-base:

>=4.3,<4.4.0a0

depends r-dplyr:

depends r-rcpp:

>=0.11.3

depends r-yaml:

>=2.1.18

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-quaternaryprod

and update with::

   mamba update bioconductor-quaternaryprod

To create a new environment, run:

mamba create --name myenvname bioconductor-quaternaryprod

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-quaternaryprod:<tag>

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

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