recipe bioconductor-weitrix

Tools for matrices with precision weights, test and explore weighted or sparse data

Homepage:

https://bioconductor.org/packages/3.16/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 to account for known predictors of precision. Find rows with excess variability. Perform differential testing and find rows with the largest confident differences. 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:

1.10.0-0,  1.6.0-0,  1.4.0-0,  1.2.0-1,  1.2.0-0,  1.0.0-0

Depends:

• bioconductor-biocgenerics >=0.44.0,<0.45.0

• bioconductor-biocparallel >=1.32.0,<1.33.0

• bioconductor-delayedarray >=0.24.0,<0.25.0

• bioconductor-delayedmatrixstats >=1.20.0,<1.21.0

• bioconductor-limma >=3.54.0,<3.55.0

• bioconductor-s4vectors >=0.36.0,<0.37.0

• bioconductor-summarizedexperiment >=1.28.0,<1.29.0

• bioconductor-topconfects >=1.14.0,<1.15.0

• r-assertthat

• r-base >=4.2,<4.3.0a0

• r-ckmeans.1d.dp

• r-dplyr

• r-ggplot2

• r-glm2

• r-purrr

• r-reshape2

• r-rhpcblasctl

• r-rlang

• r-scales

Required By:

Installation

With an activated Bioconda channel (see 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>)

Download stats

Link to this page

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