BatchSVG is a method to identify
batch-biased spatially variable genes (SVGs) in spatial transcriptomics data.
The batch variable can be defined as “sample”, “donor sex”, or other batch effects of interest. The BatchSVG method is based on the
binomial deviance model (Townes et al, 2019)).
Installation
BatchSVG is a R package available in Bioconductor version 3.19 and later.
You can install BatchSVG by using the following commands in R session from
Bioconductor.
if (!requireNamespace("BiocManager", quietly = TRUE)) {
install.packages("BiocManager")
}
BiocManager::install("BatchSVG")
## Check that you have a valid Bioconductor installation
BiocManager::valid()
The development version can be obtained by
BiocManager::install("christinehou11/BatchSVG")
Code of Conduct
Please note that the BatchSVG project is released with
a Contributor Code of Conduct.
By contributing to this project, you agree to abide by its terms.
BatchSVG
BatchSVGis a method to identify batch-biased spatially variable genes (SVGs) in spatial transcriptomics data. The batch variable can be defined as “sample”, “donor sex”, or other batch effects of interest. TheBatchSVGmethod is based on the binomial deviance model (Townes et al, 2019)).Installation
BatchSVGis a R package available in Bioconductor version 3.19 and later. You can installBatchSVGby using the following commands in R session from Bioconductor.The development version can be obtained by
Code of Conduct
Please note that the BatchSVG project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.