input.dda.iprg.pg: DDA iPGR dataset
In jessegmeyerlab/PeCorA: Peptide correlation analysis
input.dda.iprg.pg R Documentation
DDA iPGR dataset
Description
DDA iPGR data processed with Prognesis from Choi et al 2017
Usage
input.dda.iprg.pg
Format
A dataframe with 115752 rows and 10 variables:
- ProteinName
Name of protein
- PeptideModifiedSequence
Peptide sequence with modifications
- PrecursorCharge
charge of precursor ion
- FragmentIon
fragment ion
- ProductCharge
Product Charge
- IsotopeLabelType
Isotope Label Type
- Condition
Experiment Condition
- BioReplicate
Number of Biological Replicate
- Run
Name of Run
- Intensity
Intensity values
Source
https://github.com/tsunghengtsai/MSstats-feature-selection/blob/master/data/input.dda.iprg.pg.rda
jessegmeyerlab/PeCorA documentation built on Oct. 12, 2024, 10:44 p.m.
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| input.dda.iprg.pg | R Documentation |
DDA iPGR dataset
Description
DDA iPGR data processed with Prognesis from Choi et al 2017
Usage
input.dda.iprg.pg
Format
A dataframe with 115752 rows and 10 variables:
- ProteinName
Name of protein
- PeptideModifiedSequence
Peptide sequence with modifications
- PrecursorCharge
charge of precursor ion
- FragmentIon
fragment ion
- ProductCharge
Product Charge
- IsotopeLabelType
Isotope Label Type
- Condition
Experiment Condition
- BioReplicate
Number of Biological Replicate
- Run
Name of Run
- Intensity
Intensity values
Source
https://github.com/tsunghengtsai/MSstats-feature-selection/blob/master/data/input.dda.iprg.pg.rda
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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