Unico: a unified model for cell-type resolution genomics from heterogeneous omics data

Most population-scale genomic datasets collected to date consist of ''bulk'' samples obtained from heterogeneous tissues, reflecting mixtures of different cell types. We introduce Unico, a unified cross-omics computational method designed to deconvolve standard two-dimensional bulk matrices (samples by features) into three-dimensional tensors (samples by features by cell types). Unico is the first principled model-based deconvolution method that is theoretically justified for any tissue-level genomic data, enhancing the ability to conduct powerful, large-scale genomic studies at cell-type resolution.