GrabSVG: Granularity-Based Spatially Variable Genes Identifications
Identifying spatially variable genes is critical in linking molecular cell functions with tissue phenotypes. This package implemented a granularity-based dimension-agnostic tool for the identification of spatially variable genes. The detailed description of this method is available at Wang, J. and Li, J. et al. 2023 (Wang, J. and Li, J. (2023), <doi:10.1038/s41467-023-43256-5>).
| Version: | 0.0.2 |
| Imports: | Matrix, sparseMatrixStats, fitdistrplus, RANN, spam |
| Suggests: | knitr, rmarkdown |
| Published: | 2023-12-06 |
| Author: | Jinpu Li  [aut,
cre] |
| Maintainer: | Jinpu Li <castle.lee.f at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | GrabSVG results |
Documentation:
| Reference manual: | GrabSVG.pdf |
Downloads:
| Package source: | GrabSVG_0.0.2.tar.gz |
| Windows binaries: | r-devel: GrabSVG_0.0.2.zip, r-release: GrabSVG_0.0.2.zip, r-oldrel: GrabSVG_0.0.2.zip |
| macOS binaries: | r-release (arm64): GrabSVG_0.0.2.tgz, r-oldrel (arm64): GrabSVG_0.0.2.tgz, r-release (x86_64): GrabSVG_0.0.2.tgz, r-oldrel (x86_64): GrabSVG_0.0.2.tgz |
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