To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("HCsnip")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.5)
Decompose given hierarchical clustering tree into non-overlapping clusters in a semi-supervised way by using available patients follow-up information as guidance. Contains functions for snipping HC tree, various cluster quality evaluation criteria, assigning new patients to one of the two given HC trees, testing the significance of clusters with permutation argument and clusters visualization using sample's molecular entropy.
Author: Askar Obulkasim
Maintainer: Askar Obulkasim <askar703 at gmail.com>
Citation (from within R,
enter citation("HCsnip")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("HCsnip")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("HCsnip")
R Script | HCsnip | |
Reference Manual |
biocViews | Clustering, GeneExpression, Microarray, Software, aCGH |
Version | 1.16.0 |
In Bioconductor since | BioC 2.12 (R-3.0) (4.5 years) |
License | GPL (>= 2) |
Depends | R (>= 2.10.0), survival, coin, fpc, clusterRepro, impute, randomForestSRC, sm, sigaR, Biobase |
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Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | HCsnip_1.16.0.tar.gz |
Windows Binary | HCsnip_1.16.0.zip |
Mac OS X 10.11 (El Capitan) | HCsnip_1.16.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/HCsnip |
Package Short Url | http://bioconductor.org/packages/HCsnip/ |
Package Downloads Report | Download Stats |
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