recipe bioconductor-weitrix

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



LGPL-2.1 | file LICENSE



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

(downloads) docker_bioconductor-weitrix



Required By


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<tag>

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