Description Usage Arguments Author(s) See Also Examples
Display a two-way plot using two of the p-values from the Pathway-Express analysis.
1 2 3 4 5 6 7 | ## S4 method for signature 'peRes,missing'
plot(x, y, ..., comb.pv.func = compute.fisher,
adjust.method = "fdr", threshold = 0.05, eps = 1e-06)
## S4 method for signature 'peRes,character'
plot(x, y, ..., comb.pv.func = compute.fisher,
adjust.method = "fdr", threshold = 0.05, eps = 1e-06)
|
x |
an object of type |
y |
vector of two p-values names to be combined using |
... |
Arguments to be passed to methods, such as |
comb.pv.func |
the function to combine the p-values - takes as input a vector of p-values
and returns the combined p-value (default: |
adjust.method |
the name of the method to adjust the p-value (see |
threshold |
corrected p-value threshold |
eps |
any value smaller than this will be considered as |
Calin Voichita and Sorin Draghici
pe
, summary.peRes
, plot,pePathway,missing-method
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | # load experiment
load(system.file("extdata/E-GEOD-21942.topTable.RData", package = "ROntoTools"))
fc <- top$logFC[top$adj.P.Val <= .01]
names(fc) <- top$entrez[top$adj.P.Val <= .01]
ref <- top$entrez
# load the set of pathways
kpg <- keggPathwayGraphs("hsa")
kpg <- setEdgeWeights(kpg)
kpg <- setNodeWeights(kpg, defaultWeight = 1)
# perform the pathway analysis (for more accurate results use nboot = 2000)
peRes <- pe(fc, graphs = kpg, ref = ref, nboot = 100, verbose = TRUE)
plot(peRes)
plot(peRes, c("pPert","pORA"), comb.pv.func = compute.normalInv, threshold = .01)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.