Collection of functions to connect the structure of the data with the information on the samples. Three types of associations are covered: 1. linear model of principal components. 2. hierarchical clustering analysis. 3. distribution of features-sample annotation associations. Additionally, the inter-relation between sample annotations can be analyzed. Simple methods are provided for the correction of batch effects and removal of principal components.

Home https://CRAN.R-project.org/package=swamp
Versions 1.3.1, 1.4.1
License GPL (>= 2)
Recipe https://github.com/bioconda/bioconda-recipes/tree/master/recipes/r-swamp


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

conda install r-swamp

and update with:

conda update r-swamp


A Docker container is available at https://quay.io/repository/biocontainers/r-swamp.