Package: IntClust
Type: Package
Title: Integration of Multiple Data Sets with Clustering Techniques
Version: 0.1.0
Date: 2018-07-19
Author: Marijke Van Moerbeke
Maintainer: Marijke Van Moerbeke <marijke.vanmoerbeke@uhasselt.be>
Description: 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.
License: GPL-3
LazyData: true
Imports: ade4,a4Core, Biobase, cluster, plotrix, plyr, gplots,
        gridExtra, limma,
        gtools,e1071,pls,stats,utils,graphics,FactoMineR,analogue,lsa,
        SNFtool,grDevices,ggplot2,circlize,Rdpack,data.table,igraph
RdMacros: Rdpack
Suggests: MLP, biomaRt, org.Hs.eg.db, a4Base
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-07-30 11:41:05 UTC; lucp8409
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2018-07-30 12:10:15 UTC
Built: R 3.5.3; ; 2020-04-22 09:33:45 UTC; windows
