performLolaEnrichment.diffVar {RnBeads} | R Documentation

## performLolaEnrichment.diffVar

### Description

performs LOLA enrichment analysis for a given differential variability table.

### Usage

    performLolaEnrichment.diffVar(
      rnbSet,
      diffmeth,
      enrich.diffMeth = NULL,
      lolaDbPaths,
      rank.cuts.region = c(100, 500, 1000),
      add.auto.rank.cut = TRUE,
      rerank = TRUE,
      verbose = TRUE
    )

### Arguments

`rnbSet` | RnBSet object for which differential variability was computed
`diffmeth` | RnBDiffMeth object. See `RnBDiffMeth-class` for details.
`enrich.diffMeth` | Enrichment object as obtained from `performLolaEnrichment.diffMeth`. If it is not provided a new object is created.
`lolaDbPaths` | LOLA database paths
`rank.cuts.region` | Cutoffs for combined ranking that are used to determine differentially variable regions
`add.auto.rank.cut` | flag indicating whether an automatically computed cut-off should also be considered.
`rerank` | For deterimining differential variability: should the ranks be ranked again or should the absolute ranks be used.
`verbose` | Enable for detailed status report

### Value

a DiffMeth.lola.enrich object (S3) containing the following attributes

`region` | Enrichment information for differential variability on the region level. A `data.table` object as returned by the `runLOLA` function from the `LOLA` package for further details. Each element will contain different user sets for different rank cutoffs and hyper/hypomethylation events(`userSet` column)
`lolaDb` | The loaded `lolaDb` object containing the merged databases as returned by `loadLolaDbs`

### Author(s)

Michael Scherer and Fabian Mueller

### Examples

    library(RnBeads.hg19)
    data(small.example.object)
    logger.start(fname=NA)
    # compute differential methylation
    dm <- rnb.execute.diffVar(rnb.set.example,pheno.cols=c("Sample_Group","Treatment"))
    # download LOLA DB
    lolaDest <- tempfile()
    dir.create(lolaDest)
    lolaDirs <- downloadLolaDbs(lolaDest, dbs="LOLACore")
    # perform enrichment analysis
    res <- performLolaEnrichment.diffVar(rnb.set.example,dm,lolaDirs[["hg19"]])

[Package RnBeads version 2.10.0 Index]