Integrated Data Analysis via Clustering

Several integrative data methods in which information of objects from different data sources can be combined are included in the IntClust package. As a single data source is limited in its point of view, this provides more insight and the opportunity to investigate how the variables are interconnected. Clustering techniques are to be applied to the combined information. For now, only agglomerative hierarchical clustering is implemented. Further, differential gene expression and pathway analysis can be conducted on the clusters. Plotting functions are available to visualize and compare results of the different methods.


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Reference manual

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install.packages("IntClust")

0.0.2 by Marijke Van Moerbeke, a year ago


Browse source code at https://github.com/cran/IntClust


Authors: Marijke Van Moerbeke


Documentation:   PDF Manual  


GPL-3 license


Imports ade4, a4Core, Biobase, cluster, plotrix, plyr, gplots, gridExtra, limma, prodlim, gtools, e1071, pls, stats, utils, graphics, FactoMineR, analogue, lsa, SNFtool, grDevices, ggplot2

Suggests MLP, biomaRt, org.Hs.eg.db, a4Base


See at CRAN