| ceRNA.enrich {CeRNASeek} | R Documentation |
Enrich the biological functions of interest.
Description
Downstream analysis function of ceRNA,This function can be used to identify biological functions of interest, and users can enrich the functions of interest by ceRNA.enrich.
Usage
ceRNA.enrich(data, GOterms, background, threshold = 2, correction = "BH")
Arguments
data |
a dataframe that the ceRNA relationship is the data, and the prediction result data obtained according to the ceRNA prediction algorithm.Such as ceRNA.cmi prediction result file. |
GOterms |
a list that goterm of interest and all gene sets in the term. |
background |
a vector containing a gene set in which GOterm annotated genes must be.Its id style must be consistent with the id format in GOterms. |
threshold |
a numeric (default 2) representing min number of intersection between a modulator's targets and a GOterms genes. |
correction |
correction method (default "BH") in one of |
Details
Note:All the arguments without default value must be assigned.
Value
A list of identified miRNA sponge interactions containing following components:
-
targetrepresented target names,respectively. -
GOtermthe GOterm name. -
target_numnames of represented target in the triplet. -
GOtermnumthe gene number of a GOterm; -
term_tarthe number of intersected factor between a GOterm genes and a modulator targets; -
P_valuethe p value of the significance enrichment; -
fdrcorrected P_value by the assigned method;
Examples
##---- Should be DIRECTLY executable !! ----
##-- ==> Define data, use random,
##-- or do help(data=index) for the standard data sets.
## The function is currently defined as
ceRNA.enrich(data=dataset[["Pre.ceRNA"]],GOterms=dataset[["GOterms"]],
background=dataset[["background"]],threshold=1,correction="BH")