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) <doi:10.1038/s41467-023-35947-w>.

Package details

AuthorWei Liu [aut, cre], Yi Yang [aut], Jin Liu [aut]
MaintainerWei Liu <liuweideng@gmail.com>
LicenseGPL-3
Version1.6.5
URL https://github.com/feiyoung/PRECAST
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("PRECAST")

Try the PRECAST package in your browser

Any scripts or data that you put into this service are public.

PRECAST documentation built on May 29, 2024, 3 a.m.