swamp: Visualization, Analysis and Adjustment of High-Dimensional Data in Respect to Sample Annotations
Version 1.4.1

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
Date of publication2018-07-04 15:20:03 UTC
MaintainerMartin Lauss <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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swamp documentation built on July 7, 2018, 9:04 a.m.