peakPeaks: Peak picking algorithm
In mQTL: Metabolomic Quantitative Trait Locus Mapping

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

Identification of peaks in metabolomic data based on the calculation of smoothed derivates using Savitzky-Golay filter. The peak is identified if derivative crosses zero, i.e. sign(X'(i))>sing(X'(i+1)).

1	peakPeaks(SpSmooth, dpDerivs, Sp)

`SpSmooth`	smoothed spectrum
`dpDerivs`	smoothed derivative of the spectrum
`Sp`	Spectrum of intrest

identified peaks

Lyamine Hedjazi

Veselkov,K. et al (2009) Recursive Segment-Wise Peak Alignment of Biological 1H NMR Spectra for Improved Metabolic Biomarker Recovery, Anal. Chem., 81(1), 56-66.

sgolayDeriv

## Data
Sp=matrix(rnorm(10*13454,mean=0,sd=1), nrow=10,ncol=13454)

## Peak picking
Spectrum<-Sp[1,]
iOrder <- 3
iFrameLen<- 11

SpDerivs=sgolayDeriv(Spectrum,iOrder,iFrameLen,2)
SpSmooth = sgolayDeriv(Spectrum,iOrder,iFrameLen,1)
peaks=peakPeaks(SpSmooth,SpDerivs,Spectrum)