swamp: Visualization, Analysis and Adjustment of High-Dimensional Data in Respect to Sample Annotations

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.

Package details

AuthorMartin Lauss
MaintainerMartin Lauss <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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swamp documentation built on May 2, 2019, 2:14 p.m.