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`

1 2 3 4 5 6 7 8 9 10 | ```
## 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)
``` |

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