Probabilistic embedding, clustering, and alignment for integrating spatial transcriptomics data with precast

HIGHLIGHTS

  • who: Wei Liu from the (UNIVERSITY) have published the article: Probabilistic embedding, clustering, and alignment for integrating spatial transcriptomics data with PRECAST, in the Journal: (JOURNAL)
  • what: Using both simulated and four real datasets, the authors show improved cell/domain detection with outstanding visualization, and the estimated aligned embeddings and cell/domain labels facilitate many downstream analyses. The authors demonstrate that PRECAST is computationally scalable and applicable to spatial transcriptomics datasets from different platforms. The authors show that PRECAST outperforms existing data integration methods by more successfully aligning similar clusters across multiple tissue slides while . . .

     

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