Nature Communications (Mar 2023)

Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST

  • Yahui Long,
  • Kok Siong Ang,
  • Mengwei Li,
  • Kian Long Kelvin Chong,
  • Raman Sethi,
  • Chengwei Zhong,
  • Hang Xu,
  • Zhiwei Ong,
  • Karishma Sachaphibulkij,
  • Ao Chen,
  • Li Zeng,
  • Huazhu Fu,
  • Min Wu,
  • Lina Hsiu Kim Lim,
  • Longqi Liu,
  • Jinmiao Chen

DOI
https://doi.org/10.1038/s41467-023-36796-3
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 19

Abstract

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Advances in spatial transcriptomics technologies have enabled the gene expression profiling of tissues while retaining spatial context. Here the authors present GraphST, a graph self-supervised contrastive learning method that learns informative and discriminative spot representations from spatial transcriptomics data.