MSstatsSummarizeSingleTMP: Tukey Median Polish summarization for a single protein

In Vitek-Lab/MSstats: Protein Significance Analysis in DDA, SRM and DIA for Label-free or Label-based Proteomics Experiments

Tukey Median Polish summarization for a single protein

Description

Tukey Median Polish summarization for a single protein

Usage

MSstatsSummarizeSingleTMP(
  single_protein,
  impute,
  censored_symbol,
  remove50missing
)

Arguments

single_protein	feature-level data for a single protein
impute	only for summaryMethod = "TMP" and censoredInt = 'NA' or '0'. TRUE (default) imputes 'NA' or '0' (depending on censoredInt option) by Accelated failure model. FALSE uses the values assigned by cutoffCensored
censored_symbol	Missing values are censored or at random. 'NA' (default) assumes that all 'NA's in 'Intensity' column are censored. '0' uses zero intensities as censored intensity. In this case, NA intensities are missing at random. The output from Skyline should use '0'. Null assumes that all NA intensites are randomly missing.
remove50missing	only for summaryMethod = "TMP". TRUE removes the runs which have more than 50% missing values. FALSE is default.

Value

list of two data.tables: one with fitted survival model, the other with protein-level data

Examples

raw = DDARawData 
method = "TMP"
cens = "NA"
impute = TRUE 
# currently, MSstats only supports MBimpute = FALSE for linear summarization
MSstatsConvert::MSstatsLogsSettings(FALSE)
input = MSstatsPrepareForDataProcess(raw, 2, NULL)
input = MSstatsNormalize(input, "EQUALIZEMEDIANS")
input = MSstatsMergeFractions(input)
input = MSstatsHandleMissing(input, "TMP", TRUE, "NA", 0.999)
input = MSstatsSelectFeatures(input, "all")
input = MSstatsPrepareForSummarization(input, method, impute, cens, FALSE)
input_split = split(input, input$PROTEIN)
single_protein_summary = MSstatsSummarizeSingleTMP(input_split[[1]],
                                                   impute, cens, FALSE)
head(single_protein_summary[[1]])

Vitek-Lab/MSstats documentation built on April 21, 2024, 10:14 p.m.