customGO | R Documentation |
Perform a hypergeometric enrichment test for a custom gene set
customGO(
genes,
gmt,
gsName = "custom GeneSet",
bg = NULL,
sp = "human",
FDR = TRUE,
byRegion = FALSE,
enr = "pos",
significant = TRUE,
minp = 1e-300
)
genes |
character vector of genes to be queried |
gmt |
Named list of gene set(s) to be analyzed for enrichment |
gsName |
Character specifying geneSet source - to be incorportated into output and help indicate source of gene sets |
bg |
character vector of genes indicating the background of genes. If left NULL, argument 'sp' will indicate species and assume all genes are in background. |
sp |
character of either "human" or "mouse" indicating the species. This will provide the number of background genes if bg=NULL. |
FDR |
Boolean indicating if p-values should be FDR corrected (Benjamini-Hochberg). Default is TRUE. |
byRegion |
Boolean. If query genes has duplicate gene symbols, set to TRUE to remove duplicates (relevant only if query genes are from annotated peaks from genomic data). Default=FALSE. |
enr |
character of either "pos" or "neg" indicating if significance should be calculated for positive or negative hypergeometric enrichment, respectively. default="pos". |
significant |
Boolean indicating if only significant (p<0.05) results should be returned. defaulte=TRUE. |
minp |
numeric indicating the minimum p-value possible reported (to avoid zeros) |
Data.frame of same structure of results table from GO_GEM() when returnRes=TRUE.
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