summarizeProteinsClusterSingleRun: Optimize a given criterion to estimate protein abundances
In Vitek-Lab/SharedPeptidesExplorer: Weighted Protein-Level Summarization for Protein Clusters
View source: R/utils_summary.R
summarizeProteinsClusterSingleRun R Documentation
Optimize a given criterion to estimate protein abundances
Description
Optimize a given criterion to estimate protein abundances
Usage
summarizeProteinsClusterSingleRun(
feature_data,
weights,
norm,
norm_parameter,
use_shared
)
Arguments
feature_data
data.table in MSstatsTMT format. See also the Details section
weights
data.table with weights.
norm
"p_norm" or "Huber"
norm_parameter
p for norm=="p_norm", M for norm=="Huber"
use_shared
if TRUE, shared peptides will be used.
Vitek-Lab/SharedPeptidesExplorer documentation built on April 14, 2025, 1:45 p.m.
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View source: R/utils_summary.R
| summarizeProteinsClusterSingleRun | R Documentation |
Optimize a given criterion to estimate protein abundances
Description
Optimize a given criterion to estimate protein abundances
Usage
summarizeProteinsClusterSingleRun(
feature_data,
weights,
norm,
norm_parameter,
use_shared
)
Arguments
feature_data |
data.table in MSstatsTMT format. See also the Details section |
weights |
data.table with weights. |
norm |
"p_norm" or "Huber" |
norm_parameter |
p for norm=="p_norm", M for norm=="Huber" |
use_shared |
if TRUE, shared peptides will be used. |
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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