exportRcade-methods {Rcade} | R Documentation

## exportRcade and ...

### Description

Methods for exporting Rcade objects, either to disk or in R.

### Usage

    exportRcade(x, directory="RcadeOutput", cutoffMode="top", cutoffArg = 1000, justGeneID=FALSE, removeDuplicates="beforeCutoff")

### Arguments

`x` | An `Rcade` object.
`directory` | `character` - The directory to export output to.
`cutoffMode` | `character` - The method to cut off each list (see Details). Must be "all", "top", "B" or "FDR".
`cutoffArg` | `numeric` - What cutoff to use (see Details).
`justGeneID` | `logical` - if `TRUE`, export only the geneID column. If `FALSE`, export all columns.
`removeDuplicates` | `character` - Should we remove duplicate GeneIDs and, if so, should we do this before or after applying the cutoff? Must be "beforeCutoff", "afterCutoff" or "none". (If removing duplicates then, for each list, the entry with the highest B value is retained.)

### Details

This function exports Rcade output to disk - specifically, it creates the following files:

File: | ChIP: | DE
ChIP.csv | Present (needs log ratio > 0) | Ignored
ChIPonly.csv | Present (needs log ratio > 0) | Absent
DEandChIP.csv | Present (needs log ratio > 0) | Present
DownChIP.csv | Present (needs log ratio > 0) | Present (logFC < 0)
Down.csv | Ignored | Present (logFC < 0)
DownNoChIP.csv | Absent | Present (logFC < 0)
Nothing.csv | Absent | Absent
UpChIP.csv | Present (needs log ratio > 0) | Present (logFC > 0)
Up.csv | Ignored | Present (logFC > 0)
UpNoChIP.csv | Absent | Present (logFC > 0)

Each file contains genes appropriate to its hypothesis, sorted by descending B value (i.e. ranked from most interesting to least interesting). For example, if you wanted the genes that display DE (either up or down) and also have ChIP signal present, you would look at the top rows of DEandChIP.csv. For genes that have a ChIP signal but explicitly show no DE, use ChIPonly.csv.

A cutoff is applied to each list, according to the value of `cutoffMode`, referring to `cutoffArg` if necessary:

`cutoffMode = "all"`

  `cutoff` ignored, all results written to disk.

`cutoffMode = "top"`

  Take the top N genes, where N is specified by `cutoffArg`.

`cutoffMode = "B"`

  Take all genes with that satisfy `B > cutoffArg`, where B is the log-odds.

`cutoffMode = "FDR"`

  The expected false positive rate, FPR, and the expected false negative rate, FNR, are calculated using B values.

  The cutoff chosen is the one that maximizes the value of `FPR + cutoffArg*FNR`.

### Usage

  `exportRcade(x, directory="RcadeOutput", cutoffMode="top", cutoff = 100, justGeneID=FALSE, removeDuplicates="beforeCutoff", ...)`

### Examples

    	data(RcadeSTAT1)
    	## Not run: exportRcade(RcadeSTAT1)

[Package Rcade version 1.34.0 Index]