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The use of scRNA-Seq and other ‘omics methods is increasing the amount of publicly available biological data. New computational tools, such as the deep learning deconvolution algorithm Bulk2Space, are allowing for the analysis of bulk transcriptomes to reveal insights into single cell composition. This tool was used to study the single cell landscape of the human SN, identifying populations of pacemaking and non-pacemaking cardiomyocytes, as well as other non-myocyte cells.
