A robust workflow to benchmark deconvolution of multi-omic data
This manuscript presents a comprehensive and unbiased evaluation framework for benchmarking deconvolution algorithms across transcriptomic and methylomic data, addressing critical gaps in existing studies and providing key advances in the quantification of tumor heterogeneity from bulk molecular data.
Recommended citation: Amblard, E., Bertrand, V., Barbot, H. et al. A robust workflow to benchmark deconvolution of multi-omic data. Genome Biol 26, 429 (2025). https://doi.org/10.1186/s13059-025-03897-9
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