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Fig. 1 | BMC Medical Genomics

Fig. 1

From: Expression correlation attenuates within and between key signaling pathways in chronic kidney disease

Fig. 1

Overlap of resultant entity across kidney transcriptome datasets of different sources. a statistical significance of set intersection between dataset pairs. Hypergeometric probability model was employed to calculate the p-value of obtaining the actual or a greater number of shared entities. Bar height symbolizes the inverse of p-values, thus the higher the more significant. GSE6, GSE62792; GSE3, GSE37171; GSE3.x, a derived dataset originating from GSE37171, with balanced sample sizes (20 vs. 21). b empirical cumulative density function curves for the 369 pathway-wise p-values determined by GSNCA in each dataset. The 21 disease samples in each GSE3.x dataset were randomly selected from the whole set of 63 samples, and these selected disease samples may share in part among the five derived datasets. c statistical significance of intersection between top-ranking pathways from different datasets. Top-ranking pathways were gradually enlarged from 5 to 150 (40.1% of all pathways) at an interval of 5 (row labels). Color shade is proportional to log10(p), where p is the p-value calculated under hypergeometric probability model. Red signifies high portion of intersection entities unexpected by random cases

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