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Fig. 1 | Human Genomics

Fig. 1

From: Decoding cell-type contributions to the cfRNA transcriptomic landscape of liver cancer

Fig. 1

Workflow 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 samples

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