prof.learn: Sample profile data after noise filtration by the machine...
In yufree/apLCMS: Adaptive processing of LC-MS data
prof.learn R Documentation
Sample profile data after noise filtration by the machine learning approach.
Description
A list object containing 4 matrices. Each matrix is from an LC/MS profile.
Usage
data(prof)
Format
Each matrix contains 4 columns: m/z, retention time, intensity, and group number.
Source
Data from Dean Jones lab, Emory University School of Medicine.
Examples
data(prof.learn)
this.feature<-prof.to.features(prof.learn[[1]][[1]])
yufree/apLCMS documentation built on May 19, 2024, 1:22 p.m.
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| prof.learn | R Documentation |
Sample profile data after noise filtration by the machine learning approach.
Description
A list object containing 4 matrices. Each matrix is from an LC/MS profile.
Usage
data(prof)Format
Each matrix contains 4 columns: m/z, retention time, intensity, and group number.
Source
Data from Dean Jones lab, Emory University School of Medicine.
Examples
data(prof.learn)
this.feature<-prof.to.features(prof.learn[[1]][[1]])
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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