features2.learn: Feature tables after elution time correction. The original...
In yufree/apLCMS: Adaptive processing of LC-MS data
features2.learn R Documentation
Feature tables after elution time correction. The original feature detection is done by machine learning approach.
Description
A list object containing 4 matrices, each of which is from a profile. The elution times in the matrices are corrected.
Usage
data(features2)
Format
A list object. Each component of the list is a matrix.
Source
Raw data from Dean Jones lab, Emory School of Medicine.
Examples
data(features2.learn)
yufree/apLCMS documentation built on May 19, 2024, 1:22 p.m.
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| features2.learn | R Documentation |
Feature tables after elution time correction. The original feature detection is done by machine learning approach.
Description
A list object containing 4 matrices, each of which is from a profile. The elution times in the matrices are corrected.
Usage
data(features2)Format
A list object. Each component of the list is a matrix.
Source
Raw data from Dean Jones lab, Emory School of Medicine.
Examples
data(features2.learn)
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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