Unravelling Spatial Transcriptomics: A Benchmark Study of Cellular Deconvolution Methods - CBIRT

A recent study published in Nature Communications comprehensively evaluated computational methods used for spatial transcriptomics data analysis. The scientists investigated how well various advanced computer methods performed on real and simulated datasets and recommended which method to use depending on the type of analysis required. The guidelines may be helpful to researchers who want to improve the accuracy of their cellular analysis and understand complex tissue structures. The study has the potential to significantly transform how researchers approach spatial transcriptomics, ultimately advancing the understanding of how cells function in different tissues. Traditionally, gene expression is measured in bulk tissues providing an average mRNA expression level of mRNAs across all cells and all cell types in the tissue.