purify_n_normalize: Purify quant and normalize
In MiguelCos/fragNterminomics: Annotation and processing of peptides from FragPipe search results
View source: R/purify_n_normalize.R
purify_n_normalize R Documentation
Purify quant and normalize
Description
Refine intensity values based on isobaric purity and normalize. Zero values are substituted for missing values.
Usage
purify_n_normalize(psms, annot)
Arguments
psms
Data frame. Optimally, the best PSMs obtained after processing the 'psm.tsv' with the function 'psmtsv_to_modified_peptides'.
annot
Data frame obtained from loading the 'annotation.txt' from Fragpipe output. First column should be named 'channel' and second column should be named 'sample'.
Value
Data frame of summed protein intensities from unique modified peptides.
MiguelCos/fragNterminomics documentation built on Oct. 13, 2023, 5:31 a.m.
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View source: R/purify_n_normalize.R
| purify_n_normalize | R Documentation |
Purify quant and normalize
Description
Refine intensity values based on isobaric purity and normalize. Zero values are substituted for missing values.
Usage
purify_n_normalize(psms, annot)
Arguments
psms |
Data frame. Optimally, the best PSMs obtained after processing the 'psm.tsv' with the function 'psmtsv_to_modified_peptides'. |
annot |
Data frame obtained from loading the 'annotation.txt' from Fragpipe output. First column should be named 'channel' and second column should be named 'sample'. |
Value
Data frame of summed protein intensities from unique modified peptides.
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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