list containing distinct named numeric vectors
corresponding to the gene set enrichment p-value
separately computed with runBatchGSE
for each distinct data set.
Note that for each data set there are two set of p-values,
one for GO and one for KEGG.
These separate p-values can be combined across data sets
by the combineGSE function.
Can be used as input to adjustPvalGSE.
data(gseResultsSep)list of length four: "dat.affy": a list of legnth two:
"go" is a numeric vector of length 5,
containing the p-values resulting from gene set enrichment
analysis of 5 GO terms on Affymetrix gene expression data;
"keg" is a numeric vector of length 5,
containing the p-values resulting from gene set enrichment
analysis of 5 KEGG pathways on Affymetrix gene expression data; "dat.agilent": a list of legnth two:
"go" is a numeric vector of length 5,
containing the p-values resulting from gene set enrichment
analysis of 5 GO terms on Agilent gene expression data;
"keg" is a numeric vector of length 5,
containing the p-values resulting from gene set enrichment
analysis of 5 KEGG pathways on Agilent gene expression data; "dat.cnvHarvard": a list of legnth two:
"go" is a numeric vector of length 5,
containing the p-values resulting from gene set enrichment
analysis of 5 GO terms on Harvard CNV data;
"keg" is a numeric vector of length 5,
containing the p-values resulting from gene set enrichment
analysis of 5 KEGG pathways on Harvard CNV data; "dat.cnvMskcc": a list of legnth two:
"go" is a numeric vector of length 5,
containing the p-values resulting from gene set enrichment
analysis of 5 GO terms on MSKCC CNV data;
"keg" is a numeric vector of length 5,
containing the p-values resulting from gene set enrichment
analysis of 5 KEGG pathways on MSKCC CNV data; runBatchGSE function
from the TCGA data contained in sepScores
and fgsList.data(gseResultsSep)
class(gseResultsSep)
names(gseResultsSep)
str(gseResultsSep)
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