Fig. 3: Transcriptome free energy changes are associated with state-transition critical points. | npj Systems Biology and Applications

Fig. 3: Transcriptome free energy changes are associated with state-transition critical points.

From: Transcriptome free energy can serve as a dynamic patient-specific biomarker in acute myeloid leukemia

Fig. 3

a For the TARGET dataset, we observed higher mean FEC (computed as absolute values) at the unstable transition point (\({c}_{2}\)) with significant differences in FEC between \({c}_{1}\) and \({c}_{2}\) (p = 0.004), \({c}_{1}\) and \({c}_{3}\) (p < 0.001) by ANOVA. The difference in FEC between \({c}_{2}\) and \({c}_{3}\) was not statistically significant. b For the CM mouse data (GSE133642)9, we observed higher mean FEC at the unstable transition point (\({c}_{2}\)) with significant differences in in FEC between \({c}_{1}\) and \({c}_{2}\) (p = 0.002) and \({c}_{2}\) and \({c}_{3}\) (p = 0.045) by ANOVA.

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