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spatialGE: Visualization and Analysis of Spatial Heterogeneity in Spatially-Resolved Gene Expression
Visualization and analysis of spatially resolved transcriptomics data. The 'spatialGE' R package provides methods for visualizing and analyzing spatially resolved transcriptomics data, such as 10X Visium, CosMx, or csv/tsv gene expression matrices. It includes tools for spatial interpolation, autocorrelation analysis, tissue domain detection, gene set enrichment, and differential expression analysis using spatial mixed models.
Getting started
Browse package contents
Package details |
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| Author | Oscar Ospina [aut, cre] (ORCID: <https://orcid.org/0000-0001-5986-4207>), Alex Soupir [aut] (ORCID: <https://orcid.org/0000-0003-1251-9179>), Brooke Fridley [aut] (ORCID: <https://orcid.org/0000-0001-7739-7956>), Satija Lab [cph] (Copyright holder of code fragments from Seurat function FindVariableFeatures) |
| Maintainer | Oscar Ospina <oscar.ospina@jhmi.edu> |
| License | MIT + file LICENSE |
| Version | 1.2.2 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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