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GrabSVG (version 0.0.2)

Granularity-Based Spatially Variable Genes Identifications

Description

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), ).

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Version

Install

install.packages('GrabSVG')

Monthly Downloads

141

Version

0.0.2

License

GPL (>= 2)

Maintainer

Jinpu Li

Last Published

December 6th, 2023

Functions in GrabSVG (0.0.2)

SpFilter

A function for filtering low expressed genes
GrabSVG

A Granularity-Based Approach to identify Spatially Variable Genes
LoadSpatial

Loading data from a Seurat object or a data frame.