shangll123/SpatialPCA: Spatially Aware Dimension Reduction for Spatial Transcriptomics
SpatialPCA is a spatially aware dimension reduction method that explicitly accounts for the spatial correlation across tissue locations. SpatialPCA can extract a low dimensional representation of the spatial transcriptomics data with enriched biological signal and preserved spatial correlation structure, thus unlocking many existing computational tools previously developed in single-cell RNAseq studies for tailored and novel analysis of spatial transcriptomics.
Getting started
Browse package contents
Package details |
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| Author | Lulu Shang [aut], Xiang Zhou [aut], Michael Kleinsasser [cre] |
| Bioconductor views | bluster |
| Maintainer | Lulu Shang <shanglu@umich.edu> |
| License | GPL (>= 3) |
| Version | 1.3.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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