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.
|Depends:||impute, amap, gplots, MASS|
|Maintainer:||Martin Lauss <martin.lauss at med.lu.se>|
|License:||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]|
|CRAN checks:||swamp results|
|Windows binaries:||r-devel: swamp_1.2.3.zip, r-release: swamp_1.2.3.zip, r-oldrel: swamp_1.2.3.zip|
|OS X El Capitan binaries:||r-release: not available|
|OS X Mavericks binaries:||r-oldrel: swamp_1.2.3.tgz|
|Old sources:||swamp archive|
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