processPathFile {PloGO2} | R Documentation

## Function to process a single pathway file in wego-like native format

### Description

For each pathway extract all ID's from the file. If abundance data is present extract and merge.

### Usage

    processPathFile(fname, AnnotIDlist, datafile=NULL, datafile.ignore.cols=1,
    	format=c("compact","long"), aggregateFun="sum")

### Arguments

`fname` | The pathway file name, in either Wego native format or long format
`AnnotIDlist` | The list of pathway annotation ID
`datafile` | The file containing abundance or NULL if none.
`datafile.ignore.cols` | How many columns in the abundance file to ignore. By default assume the first only, containing identifiers.
`format` | Either "compact" or "long"; see details
`aggregateFun` | The aggregation function for abundance data

### Details

The format is "compact" by default, meaning a text file containing ID's in the first column, and pathway identifiers in the second, separated by spaces or semicolons. This is the same as the "Wego native format". A "long" format is also accepted, meaning a text file with two or more columns separated by spaces, containing an identifier, followed by a pathway id, followed optionally by other columns which are ignored. The pathway id's will first be aggregated for each identifier.

### Value

A list with the following components

`counts` | A vector of the same length as the list of pathway id's of interest giving the number of ID's in each category
`ID.list` | The list of ID's for each pathway category
`datafile` | The abundance datafile provided passed through
`abundance` | A matrix with as many rows as the pathway list provided, and as many columns as the abundance data file
`N` | The number of protein (gene etc) identifiers in each file
`fname` | The filename without the file path

### Author(s)

J. Wu

### Examples

    # use one of the stored files
    dir <- system.file("files", package="PloGO2")
    fname <- paste(dir,"PWFiles/AllData.txt", sep="/")
    datafile <- paste(dir, "Abundance_data.csv", sep="/")
    AnnotIDlist <- unique(unlist(sapply(read.delim(fname, stringsAsFactors=FALSE)[,2], function(x) strsplit(x, split=" ")[[1]])))

    # or if abundance in present aggregate that by category
    processPathFile(fname, AnnotIDlist, datafile=datafile)

[Package PloGO2 version 1.4.0 Index]