- Home
- Bioconductor 3.3
- Software Packages
- ClusterSignificance
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("ClusterSignificance")
In most cases, you don't need to download the package archive at all.
ClusterSignificance
|
This package is for version 3.3 of Bioconductor; for the stable, up-to-date release version, see ClusterSignificance.
Investigates Significance of Clusters by Reducing the Data to One Dimension to be Able to Easy Set a Score for the Separation, and a p-Value is then Calculated from Permutations of the Original Data
Bioconductor version: 3.3
The ClusterSignificance package provides tools to assess if clusters have a separation different from random or permuted data. ClusterSignificance investigates clusters of two or more groups by first, 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 |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | Classification, Clustering, PrincipalComponent, Software, StatisticalMethod |
| Version | 1.0.3 |
| In Bioconductor since | BioC 3.3 (R-3.3) (< 6 months) |
| License | GPL-3 |
| Depends | R (>= 3.3.0) |
| Imports | methods, pracma, princurve, scatterplot3d, RColorBrewer, grDevices, graphics, utils |
| LinkingTo | |
| Suggests | knitr, rmarkdown, testthat, BiocStyle, ggplot2, plsgenomics |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | ClusterSignificance_1.0.3.tar.gz |
| Windows Binary | ClusterSignificance_1.0.3.zip |
| Mac OS X 10.9 (Mavericks) | ClusterSignificance_1.0.3.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/ClusterSignificance/tree/release-3.3 |
| Package Short Url | http://bioconductor.org/packages/ClusterSignificance/ |
| Package Downloads Report | Download Stats |
Documentation »
Bioconductor
- Package vignettes and manuals.
- Workflows for learning and use.
- Course and conference material.
- Videos.
- Community resources and tutorials.
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations:
- Support site - for questions about Bioconductor packages
- Bioc-devel mailing list - for package developers
