Statistical Recoupling of variables for mQTL analysis
Makes use of SRV to preprocess metabolomic data for dimensionality reduction by statistical recoupling of variables
pre_mQTL(infile, outfile, met, corrT = 0.9)
reduced metabolomic datafile
used statistical summary
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.
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.
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## 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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