hopach

Hierarchical Ordered Partitioning and Collapsing Hybrid (HOPACH)

Bioconductor version: 2.10

The HOPACH clustering algorithm builds a hierarchical tree of clusters by recursively partitioning a data set, while ordering and possibly collapsing clusters at each level. The algorithm uses the Mean/Median Split Silhouette (MSS) criteria to identify the level of the tree with maximally homogeneous clusters. It also runs the tree down to produce a final ordered list of the elements. The non-parametric bootstrap allows one to estimate the probability that each element belongs to each cluster (fuzzy clustering).

Author: Katherine S. Pollard, with Mark J. van der Laan <laan at stat.berkeley.edu> and Greg Wall

Maintainer: Katherine S. Pollard <katherine.pollard at gladstone.ucsf.edu>

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("hopach")

To cite this package in a publication, start R and enter:

    citation("hopach")

Documentation

PDF	R Script	bootplot.pdf
PDF	R Script	dplot.pdf
PDF	R Script	hopach
PDF	R Script	hopachManuscript.pdf
PDF	R Script	MSS.pdf
PDF		Reference Manual

Details

biocViews	Clustering, Software
Depends	R (>= 2.11.0), cluster, Biobase, methods
Imports	Biobase, cluster, graphics, grDevices, methods, stats, utils
Suggests
System Requirements
License	GPL (>= 2)
URL	http://www.stat.berkeley.edu/~laan/, http://docpollard.org/
Depends On Me
Imports Me	phenoTest
Suggests Me	BiocCaseStudies
Version	2.16.0
Since	Bioconductor 1.6 (R-2.1) or earlier

Package Downloads

Package Source	hopach_2.16.0.tar.gz
Windows Binary	hopach_2.16.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	hopach_2.16.0.tgz
Package Downloads Report	Download Stats

Workflows »

Common Bioconductor workflows include:

Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Hosting provided by Fred Hutchinson Cancer Research Center