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Bioconductor - hopach (development version)

This is the development version of hopach; for the stable release version, see hopach.

Bioconductor version: Development (3.22)

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 (version "4.5") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("hopach")

For older versions of R, please refer to the appropriate Bioconductor release.

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("hopach")

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

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