IntClust
0.1.0Integration of Multiple Data Sets with Clustering Techniques
Overview
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.
Install
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Documentation
- Examples that run
- 54%
- Documented parameters
- 91%
- Return-value docs
- 100%
- References docs
- 23%
Downloads
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Code & Tests
Datasets
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.1.0 released · 2021-05-18
- archivedRemoved from CRAN2021-04-03depends on archived package 'heatmap.plus'
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 0.1.02018-07-30 · diff ↗
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- 0.0.22016-03-31
- RR 3.2.0 released · 2015-04-16
Package metadata
- Total releases
- 2
- License
- GPL-3 OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 1,022 KB / 6 files
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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