Fig. 5

Hypergraph entropy in the transcriptome reveals differences over time and between functions. (A) hypergraphs were iterated using randomly selected genes and a moving window approach to assess change in transcriptomic entropy over time. SC and KD are significantly different at all time points (FDR < 2.4 × 10^–11 ANOVA with Tukey post-hoc) though the largest differences exist at 5–10 dpf (fold change = 0.052) and 20–30 dpf (0.11). (B) hypergraphs were iteratively generated from genes attributed to each pathway and entropy was modelled across the two treatment groups. β values represent the difference in entropy between SC and KD, with a β value of 0 indicating no difference between groups. Positive β values represent higher entropy in SC compared to KD. Ontology classes are considered to be significantly different if the 89% CI of β values does not include 0. Actin filament-based movement and negative regulation of extrinsic apoptotic signalling pathway were the only two pathways with no difference identified between the groups