PRECAST1.7 package

Embedding and Clustering with Alignment for Spatial Omics Datasets

An efficient data integration method is provided for multiple spatial transcriptomics data with non-cluster-relevant effects such as the complex batch effects. It unifies spatial factor analysis simultaneously with spatial clustering and embedding alignment, requiring only partially shared cell/domain clusters across datasets. More details can be referred to Wei Liu, et al. (2023) <doi:10.1038/s41467-023-35947-w>.

  • Maintainer: Wei Liu
  • License: GPL-3
  • Last published: 2025-10-01