recipe bioconductor-marr

Maximum rank reproducibility

Homepage:

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

License:

GPL (>= 3)

Recipe:

/bioconductor-marr/meta.yaml

marr (Maximum Rank Reproducibility) is a nonparametric approach that detects reproducible signals using a maximal rank statistic for high-dimensional biological data. In this R package, we implement functions that measures the reproducibility of features per sample pair and sample pairs per feature in high-dimensional biological replicate experiments. The user-friendly plot functions in this package also plot histograms of the reproducibility of features per sample pair and sample pairs per feature. Furthermore, our approach also allows the users to select optimal filtering threshold values for the identification of reproducible features and sample pairs based on output visualization checks (histograms). This package also provides the subset of data filtered by reproducible features and/or sample pairs.

package bioconductor-marr

Versions:

1.8.0-0,  1.4.0-2,  1.4.0-1,  1.4.0-0,  1.2.0-0,  1.00.02-0,  1.0.0-1

Depends:

• bioconductor-s4vectors >=0.36.0,<0.37.0

• bioconductor-summarizedexperiment >=1.28.0,<1.29.0

• 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-dplyr

• r-ggplot2

• r-magrittr

• r-rcpp

• r-rlang

Required By:

Installation

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

conda install bioconductor-marr

and update with:

conda update bioconductor-marr

or use the docker container:

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

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

Download stats

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-marr/README.html)