Skip to main content
Fig. 1 | Genome Biology

Fig. 1

From: cepip: context-dependent epigenomic weighting for prioritization of regulatory variants and disease-associated genes

Fig. 1

Critical chromatin features and correlations among tissues/cell types. a Tissue/cell type-specific or generalized logit models trained by ten selected chromatin features using eQTLs fine mapping dataset (occurrence indicates the number of models sharing the feature after the feature selection procedure; * indicates the P value of coefficient for corresponding feature < 0.05; heatmap color is rendered by exponential coefficients). CPL CAP_LCL, STL Stranger_LCL, HCE Harvard_cerebellum, HPC Harvard_prefrontal_cortex, HVC Harvard_visual_cortex, GCF GenCord_fibroblast, GCL GenCord_LC, GCT GenCord_tcell, CLI UChicago_liver, MLI Merck_liver, MBR Myers_brain, All combined dataset, Geuvadis Geuvadis_LCL. b Spearman’s rank correlation tests between the coefficients of the selected features in each cell type-specific logit model using ten selected chromatin features. c Tissue/cell type-specific logit models trained by 11 selected chromatin features using the GTEx eQTLs dataset (occurrence indicates the number of models sharing the feature after the feature selection procedure; * indicates the P value of coefficient for corresponding feature < 0.05; heatmap color is rendered by exponential coefficients). d Spearman’s rank correlation between the coefficients of selected features in each GTEx cell type-specific logit model using 11 selected chromatin features

Back to article page