Bioconductor version: Release (3.6)
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>
Citation (from within R,
enter citation("hopach")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("hopach")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("hopach")
R Script | hopach | |
Reference Manual |
biocViews | Clustering, Software |
Version | 2.38.0 |
In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 13 years) |
License | GPL (>= 2) |
Depends | R (>= 2.11.0), cluster, Biobase, methods |
Imports | graphics, grDevices, stats, utils, BiocGenerics |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | http://www.stat.berkeley.edu/~laan/ http://docpollard.org/ |
Depends On Me | |
Imports Me | phenoTest |
Suggests Me | BiocCaseStudies |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | hopach_2.38.0.tar.gz |
Windows Binary | hopach_2.38.0.zip (32- & 64-bit) |
Mac OS X 10.11 (El Capitan) | hopach_2.38.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/hopach |
Package Short Url | http://bioconductor.org/packages/hopach/ |
Package Downloads Report | Download Stats |
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