TF.rank.plot {ELMER} | R Documentation

## TF.rank.plot to plot the scores (-log10(P value)) which assess the correlation between TF expression and average DNA methylation at motif sites.

### Description

TF.rank.plot is a function to plot the scores (-log10(P value)) which assess the correlation between TF expression and average DNA methylation at motif sites. The the motif relevant TF and top3 TFs will be labeled in a different color.

### Usage

    TF.rank.plot(
      motif.pvalue,
      motif,
      title = NULL,
      TF.label = NULL,
      dir.out = "./",
      save = TRUE,
      cores = 1
    )

### Arguments

`motif.pvalue` | A matrix or a path specifying location of "XXX.with.motif.pvalue.rda" which is output of getTF.
`motif` | A vector of characters specify the motif to plot
`title` | Tite title (the motif will still be added to the title)
`TF.label` | A list shows the label for each motif. If TF.label is not specified, the motif relevant TF and top3 TF will be labeled.
`dir.out` | A path specify the directory to which the figures will be saved. Current directory is default.
`save` | A logic. If true (default), figure will be saved to dir.out
`cores` | A interger which defines the number of cores to be used in parallel process. Default is 1: no parallel process.

### Value

A plot shows the score (-log(P value)) of association between TF expression and DNA methylation at sites of a certain motif.

### Author(s)

Lijing Yao (maintainer: lijingya@usc.edu)

### Examples

    library(ELMER)
    data <- tryCatch(ELMER:::getdata("elmer.data.example"), error = function(e) {
      message(e)
      data(elmer.data.example, envir = environment())
    })
    enriched.motif <- list("P53_HUMAN.H11MO.0.A"= c("cg00329272", "cg10097755", "cg08928189",
                                     "cg17153775", "cg21156590", "cg19749688", "cg12590404",
                                     "cg24517858", "cg00329272", "cg09010107", "cg15386853",
                                     "cg10097755", "cg09247779", "cg09181054"))
    TF <- get.TFs(data,
                  enriched.motif,
                  group.col = "definition",
                  group1 = "Primary solid Tumor",
                  group2 = "Solid Tissue Normal",
                  TFs = data.frame(
                         external_gene_name=c("TP53","TP63","TP73"),
                         ensembl_gene_id= c("ENSG00000141510",
                                            "ENSG00000073282",
                                            "ENSG00000078900"),
                         stringsAsFactors = FALSE),
                 label="hypo")
    TF.meth.cor <- get(load("getTF.hypo.TFs.with.motif.pvalue.rda"))
    TF.rank.plot(motif.pvalue=TF.meth.cor,
                motif="P53_HUMAN.H11MO.0.A",
                TF.label=createMotifRelevantTfs("subfamily")["P53_HUMAN.H11MO.0.A"],
                save=TRUE)
    TF.rank.plot(motif.pvalue=TF.meth.cor,
                motif="P53_HUMAN.H11MO.0.A",
                save=TRUE)
    # Same as above
    TF.rank.plot(motif.pvalue=TF.meth.cor,
                motif="P53_HUMAN.H11MO.0.A",
                dir.out = "TFplots",
                TF.label=createMotifRelevantTfs("family")["P53_HUMAN.H11MO.0.A"],
                save=TRUE)

[Package ELMER version 2.11.1 Index]