MSstatsPrepareForGroupComparison: Prepare output for dataProcess for group comparison
In MeenaChoi/MSstats: Protein Significance Analysis in DDA, SRM and DIA for Label-free or Label-based Proteomics Experiments
View source: R/groupComparison.R
MSstatsPrepareForGroupComparison R Documentation
Prepare output for dataProcess for group comparison
Description
Prepare output for dataProcess for group comparison
Usage
MSstatsPrepareForGroupComparison(summarization_output)
Arguments
summarization_output
output of dataProcess
Value
list of run-level data for each protein in the input.
This list has a "has_imputed" attribute that indicates if missing values
were imputed in the input dataset.
Examples
QuantData <- dataProcess(SRMRawData, use_log_file = FALSE)
group_comparison_input = MSstatsPrepareForGroupComparison(QuantData)
length(group_comparison_input) # list of length equal to number of proteins
# in protein-level data of QuantData
head(group_comparison_input[[1]])
MeenaChoi/MSstats documentation built on Nov. 10, 2024, 2:43 p.m.
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View source: R/groupComparison.R
| MSstatsPrepareForGroupComparison | R Documentation |
Prepare output for dataProcess for group comparison
Description
Prepare output for dataProcess for group comparison
Usage
MSstatsPrepareForGroupComparison(summarization_output)
Arguments
summarization_output |
output of dataProcess |
Value
list of run-level data for each protein in the input. This list has a "has_imputed" attribute that indicates if missing values were imputed in the input dataset.
Examples
QuantData <- dataProcess(SRMRawData, use_log_file = FALSE)
group_comparison_input = MSstatsPrepareForGroupComparison(QuantData)
length(group_comparison_input) # list of length equal to number of proteins
# in protein-level data of QuantData
head(group_comparison_input[[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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