runTopologyGSAMulti

0th

Percentile

Run a topological analysis on an expression dataset using topologyGSA.

This function is deprecated and will be removed in a future release. You can use runTopologyGSA instead.

Keywords
analysis, topology, topologyGSEA
Usage
runTopologyGSAMulti(pathways, test, exp1, exp2, alpha, maxNodes=150, ...)
Arguments
pathways
a PathwayList object.
test
Either "var" and "mean". Determine the type of test used by topologyGSA.
exp1
Experiment matrix of the first class, genes in columns.
exp2
Experiment matrix of the second class, genes in columns.
alpha
Significance level of the test.
maxNodes
Ignore pathways with more than "maxNodes" nodes. Set to "NULL" to disable the filter.
...
Details

This function produces a warning and whenever the number of genes in common between the expression matrices and a pathway is less than 3.

Value

• A list with two elements:
• results
: a list with one entry for each successfully analyzed pathway;
• errors
• : a vector containing the error messages of failed analyses.

References

Massa MS, Chiogna M, Romualdi C. Gene set analysis exploiting the topology of a pathway. BMC System Biol. 2010 Sep 1;4:121.

pathway.var.test pathway.mean.test

Aliases
• runTopologyGSAMulti
Examples
if (require(topologyGSA)) {
data(examples)

k <- pathways("hsapiens", "kegg")
ps <- convertIdentifiers(
k[c("Acute myeloid leukemia", "Fc epsilon RI signaling pathway")],
"symbol")
runTopologyGSAMulti(ps, "var", y1, y2, 0.05)
}
Documentation reproduced from package graph, version 1.50.0, License: Artistic-2.0

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