IntClust: Integrated Data Analysis via Clustering
Version 0.0.1

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.

Package details

AuthorMarijke Van Moerbeke
Date of publication2016-02-15 07:51:46
MaintainerMarijke Van Moerbeke <[email protected]>
LicenseGPL-3
Version0.0.1
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("IntClust", repos="http://R-Forge.R-project.org")

Try the IntClust package in your browser

Any scripts or data that you put into this service are public.

IntClust documentation built on May 31, 2017, 3:23 a.m.