Fig. 1From: Decoding cell-type contributions to the cfRNA transcriptomic landscape of liver cancerWorkflow of targeted cellular deconvolution. After data curation from the Gene Expression Omnibus (GEO) and Sequence Read Archive (SRA) databases, the blood cell-free RNA datasets are deconvoluted with the Bisque algorithm using a healthy single-cell RNA liver dataset; the produced cell-type proportions are used to compare the healthy and cancer samples. H1–H4 represent the healthy donor samples, and C1–C4 represent the cancer samplesBack to article page