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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/20926

Title: IntClust: a software package for an integrated data analysis via clustering
Authors: Van Moerbeke, Marijke
Issue Date: 2016
Abstract: 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.
URI: http://hdl.handle.net/1942/20926
Link to publication: https://cran.r-project.org/web/packages/IntClust/index.html
Category: O
Type: Other
Appears in Collections: Research publications

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