Fig. 2 | Nature Communications

Fig. 2

From: A semi-supervised approach for predicting cell-type specific functional consequences of non-coding variation using MPRAs

Fig. 2

Cell type/tissue-specific prediction of regulatory variants. Each figure presents the AUPR (area under the precision recall curve), AUROC (area under the receiver operating characteristics curve), and COR (Pearson correlation between predicted and true labels). X axis presents AUPR; Y axis presents AUROC; the bubble size represents COR. GM12878: MPRA validated variants in lymphoblastoid cells (693 positive variants, 2772 control variants). HepG2: MPRA validated variants in liver carcinoma cells (525 positive variants, 1451 control variants). K562: MPRA validated variants in erythrocytic leukemia cells (342 positive variants, 1368 control variants). dsQTLs: a set of DNase I–sensitivity quantitative trait loci identified in a collection of human lymphoblastoid cell lines (559 positive variants, 2236 control variants). GenoNet: the proposed semi-supervised algorithm

Back to article page