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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.
Version: | 1.5.1 |
Depends: | impute, amap, gplots, MASS |
Imports: | methods |
Published: | 2019-12-06 |
DOI: | 10.32614/CRAN.package.swamp |
Author: | Martin Lauss |
Maintainer: | Martin Lauss <martin.lauss at med.lu.se> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
CRAN checks: | swamp results |
Reference manual: | swamp.pdf |
Package source: | swamp_1.5.1.tar.gz |
Windows binaries: | r-devel: swamp_1.5.1.zip, r-release: swamp_1.5.1.zip, r-oldrel: swamp_1.5.1.zip |
macOS binaries: | r-release (arm64): swamp_1.5.1.tgz, r-oldrel (arm64): swamp_1.5.1.tgz, r-release (x86_64): swamp_1.5.1.tgz, r-oldrel (x86_64): swamp_1.5.1.tgz |
Old sources: | swamp archive |
Reverse imports: | DExMA |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.