gsea.split: Split a GSEA object based on leading edge similarities. Take...
In drmjc/metaGSEA: Meta-analysis of GSEA analyses, including intra- and inter-experiment comparisons
Description
Usage
Arguments
Value
Author(s)
Description
Internally, this function first runs gsea.leadingedge.distance, then
hclust, and finally cutree. The resulting cluster assignments
are then used to subet GSEA objects into smaller GSEA objects with only
specified genesets within them. You can then export them, and load each
subset in the LeadingEdge Viewer tool.
Usage
1
gsea.split(x, dist = 0.99, min.size = 1)
Arguments
x
a GSEA object
dist
the distance to cut at. 0.99 is a large distance (close to the
root of the tree).
min.size
discard geneset clusters that have fewer than min.size
genesets in them.
Value
a named list of GSEA objects, one per cluster of genesets. The
names are cluster001, cluster002, ...
Author(s)
Mark Cowley, 2009-10-16
drmjc/metaGSEA documentation built on Aug. 8, 2020, 1:53 p.m.
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Description Usage Arguments Value Author(s)
Description
Internally, this function first runs gsea.leadingedge.distance, then
hclust, and finally cutree. The resulting cluster assignments
are then used to subet GSEA objects into smaller GSEA objects with only
specified genesets within them. You can then export them, and load each
subset in the LeadingEdge Viewer tool.
Usage
1 | gsea.split(x, dist = 0.99, min.size = 1)
|
Arguments
x |
a GSEA object |
dist |
the distance to cut at. 0.99 is a large distance (close to the root of the tree). |
min.size |
discard geneset clusters that have fewer than min.size genesets in them. |
Value
a named list of GSEA objects, one per cluster of genesets. The names are cluster001, cluster002, ...
Author(s)
Mark Cowley, 2009-10-16
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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