Nature Communications (Jan 2023)

scMoMaT jointly performs single cell mosaic integration and multi-modal bio-marker detection

  • Ziqi Zhang,
  • Haoran Sun,
  • Ragunathan Mariappan,
  • Xi Chen,
  • Xinyu Chen,
  • Mika S. Jain,
  • Mirjana Efremova,
  • Sarah A. Teichmann,
  • Vaibhav Rajan,
  • Xiuwei Zhang

DOI
https://doi.org/10.1038/s41467-023-36066-2
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 16

Abstract

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Many methods for single cell data integration have been developed, though mosaic integration remains challenging. Here the authors present scMoMaT, a mosaic integration method for single cell multi-modality data from multiple batches, that jointly learns cell representations and marker features across modalities for different cell clusters, to interpret the cell clusters from different modalities.