Journal: Science Advances
Article Title: Evaluating performance and applications of sample-wise cell deconvolution methods on human brain transcriptomic data
doi: 10.1126/sciadv.adh2588
Figure Lengend Snippet: ( A ) Illustration of decon-eQTL mapping. ( B ) Number of decon-eQTLs identified in different cell types at FDR < 0.05 in the permutation test. ( C ) Pi 1 statistics of decon-eQTLs in BrainGVEX decon-eQTLs and ( D ) eQTLs from snRNA-seq study of Bryois et al. . For calculating Pi 1 statistics, decon-eQTLs from ROSMAP were used as testing data, and eQTLs from BrainGVEX and Bryois et al. were used as references. ( E ) Comparison of decon-eQTLs and bulk tissue eQTLs. The top barplot shows the Pi 1 values of decon-eQTLs (testing data) in bulk tissue eQTLs (reference). The bottom plot shows the intersections between decon-eQTLs and bulk tissue eQTLs, as well as intersections of decon-eQTLs across various cell types.
Article Snippet: The cell-type eQTLs identified with deconvoluted gene expressions were named deconvolution eQTLs (decon-eQTLs).
Techniques: Comparison