Benchmarking reference-based cellular deconvolution algorithms to predict cell proportions.
Computational cellular deconvolution enables researchers to estimate the proportions of distinct cell types in bulk RNA-sequencing (RNA-seq) samples using single-cell RNA-seq (scRNA-seq) as a reference. This offers a scalable and cost-effective alternative to physical cell separation. Despite recent advancements in cel...