recipe bioconductor-qvalue

Q-value estimation for false discovery rate control

Homepage:

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

License:

LGPL

Recipe:

/bioconductor-qvalue/meta.yaml

This package takes a list of p-values resulting from the simultaneous testing of many hypotheses and estimates their q-values and local FDR values. The q-value of a test measures the proportion of false positives incurred (called the false discovery rate) when that particular test is called significant. The local FDR measures the posterior probability the null hypothesis is true given the test's p-value. Various plots are automatically generated, allowing one to make sensible significance cut-offs. Several mathematical results have recently been shown on the conservative accuracy of the estimated q-values from this software. The software can be applied to problems in genomics, brain imaging, astrophysics, and data mining.

package bioconductor-qvalue

(downloads) docker_bioconductor-qvalue

versions:
2.34.0-0,  2.32.0-0,  2.30.0-0,  2.26.0-0,  2.24.0-0,  2.22.0-1,  2.22.0-0,  2.20.0-0,  2.18.0-1, 

2.34.0-0,  2.32.0-0,  2.30.0-0,  2.26.0-0,  2.24.0-0,  2.22.0-1,  2.22.0-0,  2.20.0-0,  2.18.0-1,  2.18.0-0,  2.16.0-1,  2.16.0-0,  2.14.1-0,  2.14.0-0,  2.12.0-0,  2.10.0-0,  2.8.0-0,  2.6.0-0,  2.4.2-0,  2.2.2-0

depends r-base:

>=4.3,<4.4.0a0

depends r-ggplot2:

depends r-reshape2:

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-qvalue

and update with::

   mamba update bioconductor-qvalue

To create a new environment, run:

mamba create --name myenvname bioconductor-qvalue

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-qvalue:<tag>

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

Download stats

Link to this page

Render an install-with-bioconda badge with the following MarkDown:

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