PeakML.Plot.RankProducts: PeakML.Plot.RankProducts

Description Usage Arguments Details Value Author(s) References See Also

Description

The rank product is a biologically motivated test for the detection of differentially expressed genes in replicated microarray experiments. It is a simple non-parametric statistical method based on ranks of fold changes. In addition to its use in expression profiling, it can be used to combine ranked lists in various application domains, including proteomics, metabolomics, statistical meta-analysis, and general feature selection. This function is using output from PeakML.RankProducts function to generate a pdf document, containing extracted chromatograms for each peak, show pfp and Erp values, box plots and all related peak set information.

Usage

1
PeakML.Plot.RankProducts (pdffile, PeakMLtree, RankProducts, identifications, sortby="Class1")

Arguments

pdffile

Filename for a pdf file to be created. Text file containing tab separated values will be also created with the same file name.

PeakMLtree

Output from a "PeakML.Read" command, to be used to generate chromatograms plot, peak annotations and all relevant sample information.

RankProducts

Name of the ouptut object from a "PeakML.RankProducts" function.

identifications

R object containing compount idetifications, must be in the form as output from "PeakML.Methods.DBidToCompoundName" function.

sortby

Identifies if peaks in pdf output class should be sorted on Erp(expected rank product) value or "Class1" of "Class2".

Details

The PeakML file format defines an open and extensible file format for storing extracted hyphenated mass spectrometry data. As such, the format will enable users to store intermediate data in a structured manner, but more importantly, to exchange data between different data analysis software. This will give complete flexible control to the users of data analysis software to cherry pick those components best suited to their needs.

The PeakML.Methods.getGroupAnnotations function allows to access attributes defined in PeakML file.

Value

Output un pdf and text file format.

Author(s)

Andris Jankevics (a.jankevics@rug.nl)

References

Breitling, R., Armengaud, P., Amtmann, A., and Herzyk, P. (2004) Rank Products: A simple, yet powerful, new method to detect differentially regulated genes in replicated microarray experiments, FEBS Letters, 573:83–92

See Also

PeakML.Plot.RankProducts


andzajan/mzmatch.R documentation built on Dec. 1, 2020, 11:33 a.m.