PRECAST
Embedding and Clustering with Alignment for Spatial 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)
- Version1.6.5
- R version≥ 4.0.0
- LicenseGPL-3
- Needs compilation?Yes
- Last release03/19/2024
Documentation
Team
Wei Liu
Yi Yang
Show author detailsRolesAuthorJin Liu
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- Depends3 packages
- Imports22 packages
- Suggests2 packages
- Linking To2 packages
- Reverse Imports1 package