Barely Significant
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highly significant

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p=0.09

Listed by Hankins (2013)

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highly significantp = 8 × 10 −400.0× alphaqualifiedgold
The difference in fit of the 13 models was highly significant ( p = 8 × 10 −40 , ANOVA), but there was no significant difference in the fits of the five top models, all of which incorporated a perseverative learning mechanism: Perseveration/Reward-learning model (PR model, ref. 36 ); differential forgetting Q -learning 33 ; ideal observer with perseveration (see Methods); ideal-observer Bayesian filters with perseveration for either a generic probabilistic reversal-learning task (see Methods), or a generic drifting reward probability task 37 .
highly significantP <7.66 × 10 −390.0× alphaqualifiedgold
These results were corroborated by the analysis of functional pathways using the ConsensusPathDB 25 (Methods); gene sets showed highly significant overlaps ( P <7.66 × 10 −39 –2.38 × 10 −05 ) with pathways involving OR and GPCR-related signalling and signal transduction, (extra-cellular matrix related) processes of inter-cellular communication, immunoregulatory processes and membrane-linked drug transport.
highly significantp<1×10 −380.0× alphaqualifiedgold
To further investigate the significance of these directional findings we estimated the differences in the slopes using z-scores and demonstrated that for 31 of the 35 genes the differences were highly significant (Bonferroni corrected p<1×10 −38 ) ( Supplementary Table 4 ), thus strongly suggesting these were not chance observations.
highly significantP = 1 × 10 − 380.0× alphaqualifiedgold
Using a logistic regression model, we found that several factors had a highly significant influence on whether a proximal eQTL was detected as an aiQTL; namely, the distance of the eQTL from the TSS (P = 1 × 10 − 38 ), the number of samples with more than one allele-specifically mapped read (P = 1 × 10 − 88 ), the log P value of the eQTL (P = 3 × 10 − 174 ), the minor allele frequency of the eQTL (P = 2 × 10 − 44 ) and the median number of allele-specifically mapped reads (among samples with more than one allele-specifically mapped read; P = 0.008).
highly significantp=2.14E-380.0× alphaqualifiedgold
GO enrichments for the lightgreen module are highly significant for “secretory granule” (p=2.14E-38), “secretory vesicle” (p=1.96E-36), and different specific neutrophils-associated terms such as “neutrophil activation involved in immune response” (p=1.04E-35), “neutrophil degranulation” (p=1.04E-35), “neutrophil activation” (p=2.00E-35), and “neutrophil mediated immunity” (p=2.64E-35).
highly significantP = 3.5 × 10 −380.0× alphaqualifiedgold
Module detection followed by a meta-analysis on chronological age identified fifteen consistently coexpressed PPI modules associated with chronological age, including a highly significant module ( P = 3.5 × 10 −38 ) enriched for ‘ T-cell activation ’ marking age-associated shifts in lymphocyte blood cell counts ( R 2 = 0.603; P = 1.9 × 10 −10 ).
highly significantp < 1 × 10 −370.0× alphaqualifiedgold
The Jaccard similarity coefficients and the highly significant p -values (hypergeometric test p < 1 × 10 −37 in all cases) of the overlap of the top upregulated genes in DN and the GNs indicated that upregulated genes were common not only among FSGS, MN and IgAN, but also among DN and the three GNs ( Figure 1B ).