Analysis and visualization 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. Software Depends: impute, amap, gplots Martin Lauss <martin.lauss@med.lu.se> Martin Lauss GPL (>= 2) 2011-01-28 application/tgz http://CRAN.R-project.org/package=swamp