Last data update: 2014.03.03
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clustComp
Package: clustComp
Version: 1.0.0
Date: 2016-01-30
Title: Clustering Comparison Package
Author: Aurora Torrente and Alvis Brazma.
Maintainer: Aurora Torrente <aurora@ebi.ac.uk>
Depends: R (>= 3.3)
Imports: sm, stats, graphics
Suggests: Biobase, colonCA, RUnit, BiocGenerics
biocViews: GeneExpression, Clustering, Visualization
Description: clustComp is a package that implements several techniques
for the comparison and visualisation of relationships between
different clustering results, either flat versus flat or
hierarchical versus flat. These relationships among clusters
are displayed using a weighted bi-graph, in which the nodes
represent the clusters and the edges connect pairs of nodes
with non-empty intersection; the weight of each edge is the
number of elements in that intersection and is displayed
through the edge thickness. The best layout of the bi-graph is
provided by the barycentre algorithm, which minimises the
weighted number of crossings. In the case of comparing a
hierarchical and a non-hierarchical clustering, the dendrogram
is pruned at different heights, selected by exploring the tree
by depth-first search, starting at the root. Branches are
decided to be split according to the value of a scoring
function, that can be based either on the aesthetics of the
bi-graph or on the mutual information between the hierarchical
and the flat clusterings. A mapping between groups of clusters
from each side is constructed with a greedy algorithm, and can
be additionally visualised.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2016-05-04 06:48:19 UTC; biocbuild
● BiocViews: Clustering, GeneExpression, Visualization
●
17 images,
9 functions,
0 datasets
●
Reverse Depends: 0
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'clustComp' ...
** R
** inst
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'clustComp'
finding HTML links ... done
SCmapping html
barycentre html
drawTreeGraph html
dyn.cross html
flatVSflat html
flatVShier html
insert html
score.crossing html
score.it html
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (clustComp)
Making 'packages.html' ... done
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