MSstatsSelectFeatures {MSstats} | R Documentation |
Feature selection before feature-level data summarization
MSstatsSelectFeatures(input, method, top_n = 3, min_feature_count = 2)
input |
data.table |
method |
"all" / "highQuality", "topN" |
top_n |
number of features to use for "topN" method |
min_feature_count |
number of quality features for "highQuality" method |
data.table
raw = DDARawData method = "TMP" cens = "NA" impute = TRUE MSstatsConvert::MSstatsLogsSettings(FALSE) input = MSstatsPrepareForDataProcess(raw, 2, NULL) input = MSstatsNormalize(input, "EQUALIZEMEDIANS") input = MSstatsMergeFractions(input) input = MSstatsHandleMissing(input, "TMP", TRUE, "NA", 0.999) input_all = MSstatsSelectFeatures(input, "all") # all features input_5 = MSstatsSelectFeatures(data.table::copy(input), "topN", top_n = 5) # top 5 features input_informative = MSstatsSelectFeatures(input, "highQuality") # feature selection head(input_all) head(input_5) head(input_informative)