R: Statistical Recoupling of variables for mQTL analysis

pre_mQTL {mQTL} | R Documentation

## Statistical Recoupling of variables for mQTL analysis

### Description

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

### Usage

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

### Arguments

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

### Details

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.

### Value

The algorithm:

1. variables are associated into a series of clusters.

2. integration of clusters into superclusters.

### Author(s)

Jean-Baptiste Cazier and Lyamine Hedjazi

### References

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

### See Also

`SRV`,`post_mQTL`

### Examples

      ## 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)

[Package mQTL version 1.0 Index]