gseGO2 | R Documentation |
This modified Gene Set Enrichment Analysis (GSEA) of GO terms supports gene test sets with large numbers of zeros.
gseGO2(
geneList,
ont = "BP",
OrgDb,
keyType = "SYMBOL",
exponent = 1,
nproc = 1,
nPerm = 1000,
minGSSize = 2,
maxGSSize = 500,
pvalueCutoff = 0.05,
pAdjustMethod = "BH",
verbose = TRUE
)
geneList |
named numeric vector with gene SYMBOLs in the name slot decreasingly ranked by scores in the data slot. |
ont |
one of "BP", "MF", "CC" or "ALL" |
OrgDb |
OrgDb, e.g., "org.Hs.eg.db". |
keyType |
keytype of gene |
exponent |
weight of each step |
nproc |
if not equal to zero, sets |
nPerm |
permutation numbers |
minGSSize |
integer, minimum size of each gene set in annotation system |
maxGSSize |
integer, maximum size of each gene set in annotation system |
pvalueCutoff |
pvalue cutoff |
pAdjustMethod |
pvalue adjustment method |
verbose |
print message or not |
feaResult object
data(targetList)
# gsego <- gseGO2(geneList=targetList, ont="MF", OrgDb="org.Hs.eg.db",
# pvalueCutoff=1)
# head(gsego)
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