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Fig. 3 | BMC Bioinformatics

Fig. 3

From: Stochastic epigenetic outliers can define field defects in cancer

Fig. 3

Positive Predictive Values (PPVs) of DVCs identified from pre-neoplastic lesions in cervical neoplasia and invasive cervical cancer. a PPVs of differentially variable CpGs (DVCs) selected by each of five different DV algorithms from the ARTISTIC data set (comparing 75 normal cervical smear samples from women who 3 years later developed a CIN2+ to 77 from women who remained disease free), with the PPV values estimated in an independent Illumina 27 k set profiling 24 normal cervical smears (N) and 24 CIN2+ samples. The number of top-ranked selected DVCs increases along the panels from left to right. The PPV was estimated as the fraction of hypermethylated DVCs attaining a t-statistic larger than 1.96 (P < 0.05) in the independent set. Only hypermethylation was considered due to the design of the 27 k beadarray which is overrepresented for probes in gene promoters. b As (a), but now for an independent Illumina 27 k set profiling 15 normal cervical tissue (N) and 48 invasive cervical cancers (CC)

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