pre_mQTL: Statistical Recoupling of variables for mQTL analysis
In mQTL: Metabolomic Quantitative Trait Locus Mapping

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

Makes use of SRV to preprocess metabolomic data for dimensionality reduction by statistical recoupling of variables

1	pre_mQTL(infile, outfile, met, corrT = 0.9)

`infile`	metabolomic datafile
`outfile`	reduced metabolomic datafile
`met`	used statistical summary
`corrT`	correlation threshold

The SRV algorithm forms clusters of variables using a measure of a local spectral dependency. Then tests whether consecutive clusters are correlated to aggregate them into a single supercluster.

The algorithm:

variables are associated into a series of clusters.
integration of clusters into superclusters.

Jean-Baptiste Cazier and Lyamine Hedjazi

Blaise,B. et al (2009) Statistical recoupling prior to significance testing in nuclear magnetic resonance based metabonomics, Anal. Chem., 81(15), 6242-6251.

SRV,post_mQTL

  ## Not run: 
## Pre-process data 

    infile<-"AlignData.dat" ## Aligned metabolomic profiles in csvs format
    outfile<-"ReducedData.dat" ## Reduced data by SRV
    met<- "rectangle" ## Summary measure (mean, max,...)
    corrT<- 0.9 ## Correlation threshold (default 0.9)
    (pre_mQTL(infile, outfile, met, corrT)

## End(Not run)