recipe bioconductor-weitrix

Weighted matrix manipulation, finding components of variation with weighted or sparse data

Homepage

https://bioconductor.org/packages/3.11/bioc/html/weitrix.html

License

LGPL-2.1 | file LICENSE

Recipe

/bioconductor-weitrix/meta.yaml

Data type and tools for working with matrices having precision weights and missing data. This package provides a common representation and tools that can be used with many types of high-throughput data. The meaning of the weights is compatible with usage in the base R function "lm" and the package "limma". Calibrate weights by scaling weights row-wise to account for known predictors of precision. Find PCA-like components of variation even with many missing values, rotated so that individual components may be meaningfully interpreted. DelayedArray matrices and BiocParallel are supported.

package bioconductor-weitrix

Versions

1.0.0-0

Depends

• bioconductor-biocgenerics >=0.34.0,<0.35.0

• bioconductor-biocparallel >=1.22.0,<1.23.0

• bioconductor-delayedarray >=0.14.0,<0.15.0

• bioconductor-delayedmatrixstats >=1.10.0,<1.11.0

• bioconductor-limma >=3.44.0,<3.45.0

• bioconductor-s4vectors >=0.26.0,<0.27.0

• bioconductor-summarizedexperiment >=1.18.0,<1.19.0

• r-assertthat

• r-base >=4.0,<4.1.0a0

• r-dplyr

• r-ggplot2

• r-purrr

• r-reshape2

• r-rhpcblasctl

• r-scales

Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-weitrix

and update with:

conda update bioconductor-weitrix

or use the docker container:

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

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

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-weitrix/README.html)