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ClusterSignificance

DOI: 10.18129/B9.bioc.ClusterSignificance    

The ClusterSignificance package provides tools to assess if class clusters in dimensionality reduced data representations have a separation different from permuted data

Bioconductor version: Release (3.6)

The ClusterSignificance package provides tools to assess if class clusters in dimensionality reduced data representations have a separation different from permuted data. The term class clusters here refers to, clusters of points representing known classes in the data. This is particularly useful to determine if a subset of the variables, e.g. genes in a specific pathway, alone can separate samples into these established classes. ClusterSignificance accomplishes this by, projecting all points onto a one dimensional line. Cluster separations are then scored and the probability of the seen separation being due to chance is evaluated using a permutation method.

Author: Jason T. Serviss and Jesper R. Gadin

Maintainer: Jason T Serviss <jason.serviss at ki.se>

Citation (from within R, enter citation("ClusterSignificance")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("ClusterSignificance")

Documentation

HTML R Script ClusterSignificance Vignette
PDF   Reference Manual
Text   NEWS

Details

biocViews Classification, Clustering, PrincipalComponent, Software, StatisticalMethod
Version 1.6.0
In Bioconductor since BioC 3.3 (R-3.3) (1.5 years)
License GPL-3
Depends R (>= 3.3.0)
Imports methods, pracma, princurve, scatterplot3d, RColorBrewer, grDevices, graphics, utils, stats
LinkingTo
Suggests knitr, rmarkdown, testthat, BiocStyle, ggplot2, plsgenomics
SystemRequirements
Enhances
URL
BugReports https://github.com/jasonserviss/ClusterSignificance/issues
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package ClusterSignificance_1.6.0.tar.gz
Windows Binary ClusterSignificance_1.6.0.zip
Mac OS X 10.11 (El Capitan) ClusterSignificance_1.6.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/ClusterSignificance
Package Short Url http://bioconductor.org/packages/ClusterSignificance/
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