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Table 6 miRNA enrichment of concordance transcripts before and after power-law correction

From: Finite-size effects in transcript sequencing count distribution: its power-law correction necessarily precedes downstream normalization and comparative analysis

  1. This table gives the gene-set enrichment analysis (GSEA) in the significant HMDD (Human microRNA and Disease Database) categories of the Bowtie1-mapped uncorrected and power-law corrected concordance transcripts (total of 30 and 52 respectively) as listed in Table 5, via the MiEAA webserver. For the power-law corrected list, the specific parameters are as follows: count≥10 and FDR-adjusted p ≤ 0.05; This gives a maximum expected value of 0.5 for false-positives (FP). To match the FP count of 0.5, the necessary parameters for the uncorrected list are: count≥5 (approximated from 10/52*30 = 5.77 where 10/52 is the ratio of power-corrected count of 10 over its total concordance transcripts of 52) and FDR-adjusted p ≤ 0.1 (approximated from 0.5/5.77 = 0.08). The identified HMDD categories from the two MiEAA runs were sorted by observed count, then FDR-adjusted p-value based on the power-law corrected results. Categories highlighted in red, blue and black are denoted as significant, significant false-positives and non-significant