Bulk brain tissue cell type deconvolution with bias correction for single‐nuclei RNA‐seq

Quantifying cell type percentages from bulk brain RNA‐sequencing enables researchers to better understand the components underlying disease pathogenesis. Despite being designed for single‐cell RNA‐sequencing (scRNA‐seq) data, MuSiC deconvolution algorithm can use single‐nuclei RNA‐sequencing (snRNA‐seq) data generated from brain tissue to estimate cell type proportions in bulk brain RNA‐sequencing data but does not fully compensate for sequencing differences between bulk and snRNA‐seq data. We modified MuSiC's gene weighing scheme to compensate for this sequencing bias.