Thresher-package: Threshing and Reaping for Principal Components

Description Details Author(s) References See Also

Description

The Thresher package defines classes used to identify outliers (threshing) and to compute the number of significant principal components and number of clusters (reaping) in a joint application of PCA and model-based clustering.

Details

Package: Thresher
Type: Package
Version: 0.12.0
Date: 2018-01-10
License: Apache 2.0
Depends: ClassDiscovery, PCDimension
Imports: methods, stats, graphics, MASS, colorspace, movMF, ade4, oompaBase

Standard usage is to apply the Thresher function to a data set in order to estimate the principal component dimension and identifty outliers. You then apply the Reaper function to actually remove the outliers and assign the remaining objects to clusters.

Author(s)

Kevin R. Coombes and Min Wang

Maintainer: <[email protected]>

References

Wang M, Abrams ZB, Kornblau SM, Coombes KR. Thresher: determining the number of clusters while removing outliers. BMC Bioinformatics, 2018; 19(1):1-9. doi://10.1186/s12859-017-1998-9.

Wang M, Kornblau SM, Coombes KR. Decomposing the Apoptosis Pathway Into Biologically Interpretable Principal Components. bioRxiv, 2017. doi://10.1101/237883.

See Also

PCDimension


Thresher documentation built on March 20, 2018, 3 a.m.