CalculatePeakShapeSimilarity: Compute similarity scores for transition peaks in a peak...
In shadieshghi/TargetedMSQC: TargetedMSQC for Automated Quality Assessment of Targeted Mass Spectrometry Data
Description
Usage
Arguments
Value
Examples
Description
The function takes a peak group of class peakObj as input and calculates pairwise similarity scores for the transition peaks in the peak group. Similarity score is defined as the Pearson correlation coefficient between the signal intensity vectors of the two peaks. For high quality peaks, the similarity score is expected to be close to 1.
Usage
1
CalculatePeakShapeSimilarity(peak, ...)
Arguments
peak
A peak group of class peakObj
Value
A list with the following objects:
r.similarity: A numeric matrix of pairwise similarity scores for transition peaks in the peak group.
peak.jaggedness: Mean of the r.similarity. vector. This score represents the overall similarity of all the transitions in the peak group.
Examples
1
2
peak <- data.CSF$data$PeakGroup[[1]]
peak.group.similarity <- CalculatePeakShapeSimilarity(peak)
shadieshghi/TargetedMSQC documentation built on May 13, 2019, 12:20 p.m.
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Description Usage Arguments Value Examples
Description
The function takes a peak group of class peakObj as input and calculates pairwise similarity scores for the transition peaks in the peak group. Similarity score is defined as the Pearson correlation coefficient between the signal intensity vectors of the two peaks. For high quality peaks, the similarity score is expected to be close to 1.
Usage
1 | CalculatePeakShapeSimilarity(peak, ...)
|
Arguments
peak |
A peak group of class peakObj |
Value
A list with the following objects: r.similarity: A numeric matrix of pairwise similarity scores for transition peaks in the peak group. peak.jaggedness: Mean of the r.similarity. vector. This score represents the overall similarity of all the transitions in the peak group.
Examples
1 2 | peak <- data.CSF$data$PeakGroup[[1]]
peak.group.similarity <- CalculatePeakShapeSimilarity(peak)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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