Joint Dimension Reduction and Spatial Clustering

Joint dimension reduction and spatial clustering is conducted for Single-cell RNA sequencing and spatial transcriptomics data, and more details can be referred to Yi Yang, Xingjie Shi, Wei Liu et al. (2021) . It is not only computationally efficient and scalable to the sample size increment, but also is capable of choosing the smoothness parameter and the number of clusters as well.


Reference manual

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2.3 by Wei Liu, 14 days ago

Browse source code at

Authors: Wei Liu [aut, cre] , Xingjie Shi [aut] , Jin Liu [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports CompQuadForm, cowplot, ggplot2, GiRaF, MASS, Matrix, mclust, methods, purrr, RColorBrewer, Rcpp, Seurat, stats

Depends on parallel, spatstat.geom

Suggests knitr, rmarkdown

Linking to Rcpp, RcppArmadillo

See at CRAN