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Thresher: Threshing and Reaping for Principal Components
Defines the classes used to identify outliers (threshing) and compute the number of significant principal components and number of clusters (reaping) in a joint application of PCA and hierarchical clustering. See Wang et al., 2018, <doi:10.1186/s12859-017-1998-9>.
Getting started
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Package details |
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| Author | Kevin R. Coombes |
| Bioconductor views | Clustering |
| Maintainer | Kevin R. Coombes <krc@silicovore.com> |
| License | Apache License (== 2.0) |
| Version | 1.1.4 |
| URL | http://oompa.r-forge.r-project.org/ |
| Package repository | View on CRAN |
| Installation |
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