SpatialDDLS

Deconvolution of spatial transcriptomics data based on neural networks and single-cell RNA-seq data. SpatialDDLS implements a workflow to create neural network models able to make accurate estimates of cell composition of spots from spatial transcriptomics data using deep learning and the meaningful information provided by single-cell RNA-seq data. See Torroja and Sanchez-Cabo (2019) doi:10.3389/fgene.2019.00978 and Mañanes et al. (2024) doi:10.1093/bioinformatics/btae072 to get an overview of the method and see some examples of its performance.