swamp: Visualization, analysis and adjustment of high-dimensional data
in respect to sample annotations
The package contains 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.
||impute, amap, gplots, MASS|
||Martin Lauss <martin.lauss at med.lu.se>|
||GPL (≥ 2)|