Deconvolving clinically relevant cellular immune crosstalk from bulk gene expression using CODEFACS and LIRICS stratifies melanoma patients to anti-PD-1 therapy

Computational methods were developed to deconvolve bulk tumor gene expression profiles into cell type–specific gene expression profiles, which allows the identification of cell-cell interactions predictive of immunotherapy response.