recipe bioconductor-iasva

Iteratively Adjusted Surrogate Variable Analysis (IA-SVA) is a statistical framework to uncover hidden sources of variation even when these sources are correlated. IA-SVA provides a flexible methodology to i) identify a hidden factor for unwanted heterogeneity while adjusting for all known factors; ii) test the significance of the putative hidden factor for explaining the unmodeled variation in the data; and iii), if significant, use the estimated factor as an additional known factor in the next iteration to uncover further hidden factors.

Homepage

https://bioconductor.org/packages/3.9/bioc/html/iasva.html

License

GPL-2

Recipe

/bioconductor-iasva/meta.yaml

package bioconductor-iasva

(downloads) docker_bioconductor-iasva

Versions

1.0.0-0

Depends
Required By

Installation

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

conda install bioconductor-iasva

and update with:

conda update bioconductor-iasva

or use the docker container:

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

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