normalizeByGlob: Basic Normalization Routines
In vladpetyuk/vp.misc: Miscellaneous functions used by Vlad Petyuk for proteomics data analysis
Description
Usage
Arguments
Examples
View source: R/norm_by_global.R
Description
Normalizes data based on assumption that on average peptide deviation
is zero. The approach is typically used for global shotgun proteomics
data. Converts one MSnSet to another MSnSet.
Usage
1
normalizeByGlob(m, method = c("medpolish", "once"))
Arguments
m
ExpresionSet or MSnSet object
method
character. "medpolish" - uses median polish algorithm.
"once" means just correct for median differences in the samples.
Note, doing it just "once" may de-center the features (rows).
Examples
1
2
3
4
data(srm_msnset)
image_msnset(msnset)
msnset2 <- normalizeByGlob(msnset)
image_msnset(msnset2)
vladpetyuk/vp.misc documentation built on June 25, 2021, 6:35 a.m.
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Description Usage Arguments Examples
View source: R/norm_by_global.R
Description
Normalizes data based on assumption that on average peptide deviation is zero. The approach is typically used for global shotgun proteomics data. Converts one MSnSet to another MSnSet.
Usage
1 | normalizeByGlob(m, method = c("medpolish", "once"))
|
Arguments
m |
ExpresionSet or MSnSet object |
method |
character. "medpolish" - uses median polish algorithm. "once" means just correct for median differences in the samples. Note, doing it just "once" may de-center the features (rows). |
Examples
1 2 3 4 | data(srm_msnset)
image_msnset(msnset)
msnset2 <- normalizeByGlob(msnset)
image_msnset(msnset2)
|
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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