PlotSpatialEnrichment: Perform spatial enrichment analysis and plot results.
In mevers/RNAModR: Functional Analysis of RNA Modifications

Description Usage Arguments Value Author(s) Examples

Perform enrichment analysis of the spatial distribution of positive sites in txLoc.pos relative to the distribution of null sites in txLoc.neg per transcript region and plot results. Enrichment/depletion is evaluated using (multiple) Fisher's exact test(s). Multiple hypothesis testing correction is applied following the method of Bejamini and Hochberg.

1 2	PlotSpatialEnrichment(txLoc.pos, txLoc.neg, binWidth = 20, posMax = 1000)

`txLoc.pos`	A `txLoc` object. These correspond to the positive sites.
`txLoc.neg`	A `txLoc` object. These correspond to the negative (null) sites.
`binWidth`	Spatial bin width. Default is 20 nt.
`posMax`	Evaluate enrichment within a window given by `posMax`. Default is 1000 nt.

NULL.

Maurits Evers, maurits.evers@anu.edu.au

## Not run: 
bedFile <- system.file("extdata",
                       "miCLIP_m6A_Linder2015_hg38.bed",
                       package = "RNAModR")
sites <- ReadBED(bedFile)
pos <- SmartMap(sites, id = "m6A", refGenome = "hg38")
null <- GenerateNull(posSites, method = "permutation")
PlotSpatialEnrichment(
    FilterTxLoc(pos, c("5'UTR", "CDS", "3'UTR")),
    FilterTxLoc(neg, c("5'UTR", "CDS", "3'UTR")))

## End(Not run)