Description Usage Arguments Value Author(s) See Also Examples
Functions to extract a flat gene set ranking from an enrichment analysis result object and to detailedly explore it.
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res |
Enrichment analysis result list (as returned by the functions
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nr.show |
Number of gene sets to show. As default all statistically significant gene sets are displayed. |
graph.view |
Optional. Should a graph-based summary (reports and visualizes consistency of regulations) be created for the result? If specified, it needs to be a gene regulatory network, i.e. either an absolute file path to a tabular file or a character matrix with exactly *THREE* cols; 1st col = IDs of regulating genes; 2nd col = corresponding regulated genes; 3rd col = regulation effect; Use '+' and '-' for activation/inhibition. |
html.only |
Logical. Should the html file only be written (without opening the browser to view the result page)? Defaults to FALSE. |
out.dir |
Output directory. If |
report.name |
Name of the HTML report. If |
signif.only |
Logical. Display only those gene sets in the ranking, which satisfy the significance level? Defaults to TRUE. |
gsRanking: DataFrame with gene sets ranked by
the corresponding p-value;
eaBrowse: none, opens the browser to explore results.
If not instructed otherwise (via argument out.dir),
the main HTML report and associated files are written to
configEBrowser("OUTDIR.DEFAULT").
See ?configEBrowser to change the location.
If html.only=FALSE, the HTML report will automatically be opened in
your default browser.
Ludwig Geistlinger <Ludwig.Geistlinger@sph.cuny.edu>
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# real data
exprs.file <- system.file("extdata/exprs.tab", package="EnrichmentBrowser")
cdat.file <- system.file("extdata/colData.tab", package="EnrichmentBrowser")
rdat.file <- system.file("extdata/rowData.tab", package="EnrichmentBrowser")
probeSE <- readSE(exprs.file, cdat.file, rdat.file)
geneSE <- probe2gene(probeSE)
geneSE <- deAna(geneSE)
metadata(geneSE)$annotation <- "hsa"
# artificial enrichment analysis results
gs <- makeExampleData(what="gs", gnames=names(geneSE))
ea.res <- makeExampleData(what="ea.res", method="ora", se=geneSE, gs=gs)
# (5) result visualization and exploration
gsRanking(ea.res)
out.dir <- configEBrowser("OUTDIR.DEFAULT")
eaBrowse(ea.res, out.dir=out.dir, report.name="oraReport")
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