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CDSeq: A novel complete deconvolution method for dissecting heterogeneous samples using gene expression data

Fig 8

Comparison of CDSeq using the quasi-unsupervised strategy with CIBERSOFT on deconvolution of B cells and T cells in lymphoma samples.

We ran CDSeq with 22 cell types, α = 0.5, β = 0.5, and 700 MCMC runs. We considered an anonymous CDSeq-identified cell type to match one of the B cell (blue dots) or T cell subtypes (red dots) if the Pearson correlation of their GEPs exceeded 0.6. (A) Correlation between estimated GEPs and true GEPs; (B) CDSeq estimated proportions versus flow cytometry; (C) CIBERSORT estimation versus flow cytometry.

Fig 8