Hey
@Emily Southworth .
The TSV file in quantification mode (by using --quantify) additionally holds the columns rt_cf|0|1|.., mz_cf|0|1|.., intensity_cf|0|1|.., and charge_cf|0|1|.., where cf (consensus feature) represents the aggregated value of the individual MS runs (0|1|..) that are part of the
Sample_
Condition group in the input samplesheet. Use e.g. the individual intensities of MS runs to compare two groups and conduct a differential-presentation analysis.
From
https://nf-co.re/mhcquant/3.1.0/docs/output/
You normally take an aggregation method like mean, median etc. of those intensities, also in proteomics afaik. If you want to know more about the consensus feature, check out the feature finder publication (from the OpenMS docs)