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How to understand PG.Q.Value in result file

Open Gambrian opened this issue 5 months ago • 1 comments

Hi Dr. Vdemichev,

Recently I used diann report.tsv for downstream analysis by diann-rpackage, after

protein.groups <- diann_maxlfq(df[df$Q.Value <= 0.01 & df$PG.Q.Value <= 0.01,], group.header="Protein.Group", id.header = "Precursor.Id", quantity.header = "Precursor.Normalised") the number of precursors (the basic unit of report.tsv is precursor, did I understand it correctly?) decreased by about 4%, the main reason was PG.Q.Value, I've read the usage of diann, it means "run-specific q-value for proteome, channel-specific". I'm new to DIA proteomics, I don't know what "channel" means? Can I treat one raw file as one channel? Why is "channel-specific" emphasized, why doesn't diann directly remove the precursors with PG.Q.Value<= 0.01. How did diann get this number? Are protein groups with a p<0.01 not credible?

Best

Gambrian avatar Sep 19 '24 12:09 Gambrian