IntClust-package: Integrated Data Analysis
In IntClust: Integrated Data Analysis via Clustering

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The package contains several integrative data methods in which information of objects from different data sources can be combined. 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.