Hey Mateusz,
I did use MSstats in R as a package but I obtain a strange QCplot...
I used your script :
#Installing MSstats
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("MSstats")
## Library MSstats and load MSstats input from Skyline in R
library('MSstats', warn.conflicts = F, quietly = T, verbose = F)
Dataframe <- read.csv("MSstats Input MS4MS_LibInitMethods.csv")
str(Dataframe)
## Delete iRT
DF <- Dataframe[-which(Dataframe$Protein.Name=="MS4MS_iRT"),]
## reformating and pre-processing for Skyline output.
quant <- SkylinetoMSstatsFormat(DF)
head(quant)
### Default option use
DataframeProcessed <- dataProcess(raw = quant,
normalization = 'equalizeMedians',
summaryMethod = 'TMP',
censoredInt = "NA",
MBimpute = TRUE,
maxQuantileforCensored=0.999)
#Visualisation of processed data
#Quality control and normalization effects
### use type="QCplot" with all proteins
## change the upper limit of y-axis=35
## set up the size of pdf
dataProcessPlots(data = DataframeProcessed, type="QCplot", ylimUp=35,
width=5, height=5)
And I obtain this kind of QCplots with a Log10 of intensity (normally I should have Log2 and the median have strange behavior despite the normalization) (in attachment) and when I did it in Skyline after the help of Nick I obtained a more "normal" QCplots...
I do not understand where is the problem... If you can help me I will be grateful !
Laure.