First, instead on inspecting corrected p-values for cDEG identification, Fibromine uses their nominal counterparts in order to avoid exclusion of borderline significant features, which may be however reported as deregulated using the looser uncorrected threshold in multiple of the user integrated datasets, thus indicating a latent biologically significant feature.
← all excerpts
Fibromine is a multi-omics database and mining tool for target discovery in pulmonary fibrosis.
1
—
—