eLife assessment
This study presents a comprehensive benchmarking approach, reviewing existing cell-type deconvolution methods in spatial transcriptomics. The authors not only assess these methods across various datasets but also successfully establish a reliable framework for their evaluation, notably highlighting RCTD and Cell2location for their performance. By implementing a full Nextflow pipeline, Docker containers, and a rigorous assessment of the simulator, this work offers robust insights that elevate the standards for future evaluations and provides a useful resource for those seeking to improve or develop new deconvolution methods. The thorough comparison and analysis of methods, coupled with a strong emphasis on reproducibility, provide solid support for the findings.