View source: R/quantitative_analysis.R
lfq_quant_analysis | R Documentation |
Run Pairwise Protein Quantification on a level of LFQ Maxquant output
lfq_quant_analysis(
dt,
des,
id_var,
output_folder,
quant_fn,
dt_int_fn,
conditions_dict = conditions_dict,
imputeStDev = imputeStDev,
imputePosition = imputePosition
)
dt |
A maxquant txt output text file (eg: proteinGroups.txt) |
des |
An experiment design file. |
id_var |
A column in dt identifying the unit (eg: majority.protein.id) |
output_folder |
An output folder to store produced files |
quant_fn |
A quantitative results file name |
dt_int_fn |
An intensity results file name |
conditions_dict |
A table with original and R-safe condition names |
imputePosition |
The Position parameter for MNAR Imputation |
imputStDev |
The Standard Deviation parameter for MNAR Imputation |
a list containing the quantitative results first and intentisty results second.
## Not run:
#producing results per modified peptide id
mod_pep_list <- lfq_quant_analysis(mod_pept, expdes, id_var = "id", output_folder,
"modificationSpecificPeptides_quant.txt",
"modificationSpecificPeptides_quant_intensities.txt",
conditions_dict=conditions_dict,
imputeStDev = imputeStDev,
imputePosition = imputePosition)
mod_pept <- mod_pep_list[[1]]
mod_pept_int <- mod_pep_list[[2]]
## End(Not run)
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