- recipe bioconductor-hopach
Hierarchical Ordered Partitioning and Collapsing Hybrid (HOPACH)
- Homepage
https://bioconductor.org/packages/3.14/bioc/html/hopach.html
- License
GPL (>= 2)
- Recipe
- Links
biotools: hopach, doi: 10.1038/nmeth.3252
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).
- package bioconductor-hopach¶
-
- Versions
2.54.0-1
,2.54.0-0
,2.52.0-0
,2.50.0-1
,2.50.0-0
,2.48.0-0
,2.46.0-0
,2.44.0-1
,2.42.0-0
,2.54.0-1
,2.54.0-0
,2.52.0-0
,2.50.0-1
,2.50.0-0
,2.48.0-0
,2.46.0-0
,2.44.0-1
,2.42.0-0
,2.40.0-0
,2.38.0-0
- Depends
bioconductor-biobase
>=2.54.0,<2.55.0
bioconductor-biocgenerics
>=0.40.0,<0.41.0
libblas
>=3.8.0,<4.0a0
libgcc-ng
>=10.3.0
liblapack
>=3.8.0,<4.0a0
r-base
>=4.1,<4.2.0a0
- Required By
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-hopach
and update with:
conda update bioconductor-hopach
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-hopach:<tag>
(see bioconductor-hopach/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-hopach/README.html)