🚀Going deeper, we demonstrate that #deconvolution is now a multi-modal data integration technique with most frameworks using #singlecell data, #spatial coordinates or tissue image. We delineate the diversity of approaches to integrate these data types.

We then take a deep-dive into the mathematical #frameworks on which deconvolution methods rely. We review more than 60 methods and propose a classification depending on their formulation of the deconvolution problem.

We first present the overall workflow of cell-type #deconvolution for #spatialtranscriptomics from input to output. We highlight a first dichotomy between methods depending on wether they use #singlecell data and also pinpoint the novel use of tissue image as a new modality.