montilab/K2Taxonomer: Creating annotated submodules of high-throughput data through recursive partitioning
Perform and annotate subgroups of high-throughput data by repeated partioning of bootstrapped features. User may input any clustering method that splits observations into 2 clusters. Results can be summarized in a interactive dashboard.
Getting started
Browse package contents
Package details |
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| Bioconductor views | Clustering StatisticalMethod |
| Maintainer | |
| License | GPL-3 + file LICENSE |
| Version | 1.0.6 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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