parGSEA | R Documentation |
GSEA Enrichment analysis function for data frame with log2FC and name specifc
parGSEA(
x,
object,
log2FC = "log2FoldChange",
gene.col = NULL,
simplify = FALSE,
keytype = "",
pvalue = 0.05,
padj = NULL,
KEGG = FALSE,
minSize = 15,
ontology = "",
maxSize = 500,
padj.method = "BH",
organism = NULL,
table = TRUE,
sep = ","
)
x |
data.frame include the gene name and log2FC |
object |
annotation file for all genes |
log2FC |
the column name for log2FoldChange |
gene.col |
the gene name column if rownames won't be used as gene name |
simplify |
boolean value to indicate if the simple table shoule be returned |
pvalue |
pvalue cutoff value |
padj |
adjust p value cut off method |
minSize |
Minimal size of a gene set to test. All pathways below the threshold are excluded. |
maxSize |
Maximal size of a gene set to test. All pathways above the threshold are excluded. |
padj.method |
p value adjust method |
table |
leadingEdge as vector |
sep |
character string used to separate the genes when concatenating |
Kai Guo
## Not run:
hsako<-buildAnnot(species="human",keytype="SYMBOL",anntype = "KEGG")
hsako<-as.data.frame(hsako)
name=sample(unique(hsako$GeneID),1000)
gene<-rnorm(1000)
names(gene)<-name
d<-data.frame(Gene=name,log2FoldChange=gene)
rownames(d)<-d$Gene
res<-parGSEA(d,object = hsako)
## End(Not run)
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