Nature Communications (Oct 2021)

ClusterMap for multi-scale clustering analysis of spatial gene expression

  • Yichun He,
  • Xin Tang,
  • Jiahao Huang,
  • Jingyi Ren,
  • Haowen Zhou,
  • Kevin Chen,
  • Albert Liu,
  • Hailing Shi,
  • Zuwan Lin,
  • Qiang Li,
  • Abhishek Aditham,
  • Johain Ounadjela,
  • Emanuelle I. Grody,
  • Jian Shu,
  • Jia Liu,
  • Xiao Wang

DOI
https://doi.org/10.1038/s41467-021-26044-x
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 13

Abstract

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In situ transcriptomics maps RNA expression patterns across intact tissues taking our understanding of gene expression to a new level. Here, the authors present a computational method that uncovers gene expression, cell niche, and tissue region patterns from 2D and 3D spatial transcriptomics.