Method of the Year: spatially resolved transcriptomics

By V. Marx. Nature Methods, 2021

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How researchers see this paper

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Artificial intelligence for digital and computational pathology (2023, neutral): “8 These authors contributed equally: Andrew H. Song, Guillaume Jaume. e-mail: FaisalMahmood@ bwh.harvard.edu”
An introduction to spatial transcriptomics for biomedical research (2022, neutral): “Although technologies for counting and profiling transcripts in tissue have existed for decades, it was only in 2021 that spatial transcriptomics was named ‘Method of the Year 2020’ by Nature Methods [13].”
Graph Representation Learning in Biomedicine and Healthcare (2021, neutral): “Spatial molecular profiling can measure both gene expression at the cellular level and the location of cells in tissue 147 .”
Multimodal biomedical AI (2022, background): “The integration of histopathological morphology data with transcriptomics data, resulting in spatially resolved transcriptomics 24 , constitutes a novel and promising methodological advancement that will enable finer-grained research into gene expression within a spatial context.”