modules/scimap_spatiallda
SpatialLDA uses an LDA based approach for the identification of cellular neighborhoods, using cell type identities.
spatial_neighborhoodsscimapspatial_omics
Description
SpatialLDA uses an LDA based approach for the identification of cellular neighborhoods, using cell type identities.
Tools
scimap MIT licence
Scimap is a scalable toolkit for analyzing spatial molecular data. The underlying framework is generalizable to spatial datasets mapped to XY coordinates. The package uses the anndata framework making it easy to integrate with other popular single-cell analysis toolkits. It includes preprocessing, phenotyping, visualization, clustering, spatial analysis and differential spatial testing. The Python-based implementation efficiently deals with large datasets of millions of cells.