Barely Significant

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Differential expression statistics were used to define a gene weight vector u j (of size equal to the total number of genes in the considered analysis) for each cell type j combining the log fold change x ij of each gene i with its adjusted p -value (Benjamini-Hochberg method [ 69 ]); to reduce noise, scores associated with marginal significance were set to zero, that is y i j = − log 2 ( x i j ) log 1 0 ( p i j ) when p ij < 0.05 and log 2 ( x ij ) ≥ 0.5, while y ij = 0 otherwise.
highly significantqualifiedgold
Note that, in spite of this highly significant evidence for an association when aggregating across participants, the regression coefficient for event-related pupil size modulation did show substantial variability among participants (for hand and foot, respectively, the median coefficients were 0.077 and 0.079, the inter-quartile ranges were 0.28 and 0.26, and the proportions of participants with a value greater than 0 were 0.66 and 0.72).
Were all genes in the human genome used as background, or a more relevant subset (e.g., all genes expressed in colon/rectal tissue)? The adjusted p-values for many terms in Table 3 and Table 4 are relatively high, suggesting marginal significance despite being "top 10." The conclusions drawn from these enrichment results should be very carefully tempered. 10.