mirnaRegionGOEnricher: GO enrichments of the microRNA regions with mRNAs that fall...
In NoRCE: NoRCE: Noncoding RNA Sets Cis Annotation and Enrichment

Description Usage Arguments Value Examples

GO enrichments of the microRNA regions with mRNAs that fall in the given upstream/downstream regions of the microRNA genes

mirnaRegionGOEnricher(
  region,
  org_assembly = c("hg19", "hg38", "mm10", "dre10", "rn6", "dm6", "ce11", "sc3"),
  near = FALSE,
  target = FALSE,
  backG = "",
  backGType = "pc-genes",
  isTADSearch = FALSE,
  TAD = c(tad_hg19, tad_dmel, tad_hg38, tad_mm10),
  express = FALSE,
  isCustomExp = FALSE,
  cancer,
  exp1,
  exp2,
  label1 = "",
  label2 = "",
  isUnionCorGene = FALSE,
  databaseFile
)

`region`	MiRNA region in a bed format
`org_assembly`	Genome assembly of interest for the analysis. Possible assemblies are "mm10" for mouse, "dre10" for zebrafish, "rn6" for rat, "dm6" for fruit fly, "ce11" for worm, "sc3" for yeast, "hg19" and "hg38" for human
`near`	Boolean value presents whether cis-neighbourhood should be considered in the analysis
`target`	Boolean value shows whether miRNA target prediction should be performed
`backG`	The set of genes that tested against to the input
`backGType`	Type of the background gene. If miRNA gene set is used for background gene, backGType should be set to the 'mirna'
`isTADSearch`	Boolean value that shows whether TAD analysis is performed. This value has to be TRUE for TAD analysis.
`TAD`	TAD genomic regions for the species. Predefined TAD regions or any new TAD regions can be used for the analysis. TAD regions must be formated as GRanges object. Predefined TAD regions are 'tad_hg19', 'tad_hg38', 'tad_mm10', 'tad_dmel' for hg19, hg38, mm9 and dm6 assembly, respectively.
`express`	Boolean variable whether co-expression analysis is performed. If this option is set to TRUE, co-expression analysis will be performed.
`isCustomExp`	Boolean variable whether co-expression analysis with custom data will be performed. When this option is set, exp1 and exp2 parameters must be defined.
`cancer`	Defines the name of the TCGA project code such as 'BRCA' for correlation analysis. Possible cancer types ACC, BLCA, BRCA, CESC, CHOL, COAD, COADREAD, DLBC, ESCA, GBMLGG, HNSC, KICH, KIPAN, KIRC, KIRP, LGG, LIHC, LUAD, LUSC, OV, PAAD, PCPG, PRAD, READ, SARC, SKCM, STAD, STES, TGCT, THCA, THYM, UCEC, UCS, UVM
`exp1`	Custom expression data matrix. Columns must be genes and rows must be patients. If gene names are provided as header, no need to redefine the headers(labels) of the expression data.
`exp2`	Custom expression data matrix. Columns must be genes and rows must be patients. If gene names are provided as header, no need to redefine the headers(labels) of the expression data.
`label1`	Gene names of the custom exp1 expression data. If it is not provided, column name of the exp1 data will be taken.
`label2`	Gene names of the custom exp2 expression data. If it is not provided, column name of the exp2 data will be taken.
`isUnionCorGene`	Boolean value that shows whether union of the output of the co-expression analysis and the other analysis should be considered
`databaseFile`	Path of miRcancer.db file

MiRNA GO enrichment object for the given input

regions<-system.file("extdata", "ncRegion.txt", package = "NoRCE")
regionNC <- rtracklayer::import(regions, format = "BED")

a<- mirnaRegionGOEnricher(region = regionNC,
                          org_assembly = 'hg19',
                          near = TRUE)