plot_gsea.leadingedge.adjmat: Generate a binary adjacency matrix image (like a heatmap with...
In drmjc/metaGSEA: Meta-analysis of GSEA analyses, including intra- and inter-experiment comparisons
Description
Usage
Arguments
Value
Author(s)
View source: R/plot_gsea.leadingedge.adjmat.R
Description
The occurence of genes in each geneset is represented by blue squares. Like
in the Broad's GSEA Leading Edge Viewer tool, genes are in columns, gensets
are in rows.
Usage
1
2
plot_gsea.leadingedge.adjmat(x, main = "Leading Edge Adjacency Matrix",
cluster = TRUE)
Arguments
x
a GSEA object
main
the title
cluster
if TRUE then do a 2-way hierarchical clustering, else order
genes by decreasing frequency
Value
none. creates a plot. Todo: introduce colour by looking up stat in
the rnk object. handle the case of lots of genes nicer.
Author(s)
Mark Cowley, 2009-10-29
drmjc/metaGSEA documentation built on Aug. 8, 2020, 1:53 p.m.
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Description Usage Arguments Value Author(s)
View source: R/plot_gsea.leadingedge.adjmat.R
Description
The occurence of genes in each geneset is represented by blue squares. Like in the Broad's GSEA Leading Edge Viewer tool, genes are in columns, gensets are in rows.
Usage
1 2 | plot_gsea.leadingedge.adjmat(x, main = "Leading Edge Adjacency Matrix",
cluster = TRUE)
|
Arguments
x |
a GSEA object |
main |
the title |
cluster |
if TRUE then do a 2-way hierarchical clustering, else order genes by decreasing frequency |
Value
none. creates a plot. Todo: introduce colour by looking up stat in the rnk object. handle the case of lots of genes nicer.
Author(s)
Mark Cowley, 2009-10-29
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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