Several tools and software packages have been developed for deconvolution in cancer research:
CIBERSORT: A widely-used tool that employs linear support vector regression for deconvolution of cell types from bulk tissue gene expression data. EPIC: Estimates the proportions of immune and cancer cells in tumor samples using gene expression data. xCell: Uses gene signatures to estimate the abundance of various cell types in heterogeneous tissues. DeMixT: A deconvolution tool specifically designed for mixed tissue samples, including tumors.
