Guidelines for cell-type heterogeneity quantification based on a comparative analysis of reference-free DNA methylation deconvolution software

This manuscript compares three software packages that infer cell type proportions based on methylation data. We here evaluate key factors affecting performance of deconvolution pipelines. We examine to what extent cell-type proportions can be accurately inferred when accounting for measured confounding factors.

Recommended citation: Decamps, C., Privé, F., Bacher, R. et al. Guidelines for cell-type heterogeneity quantification based on a comparative analysis of reference-free DNA methylation deconvolution software. BMC Bioinformatics 21, 16 (2020). https://doi.org/10.1186/s12859-019-3307-2
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