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https://github.com/christinehou11/batchsvg

Identification of biased features from SVGs in spatial transcriptomics data
https://github.com/christinehou11/batchsvg

batch-effect bioconductor-package spatial-transcriptomics

Last synced: 24 days ago
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Identification of biased features from SVGs in spatial transcriptomics data

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## BatchSVG

`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](https://genomebiology.biomedcentral.com/articles/10.1186/s13059-019-1861-6))).

#### 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*.

``` r
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

``` r
BiocManager::install("christinehou11/BatchSVG")
```

### Code of Conduct

Please note that the BatchSVG project is released with
a [Contributor Code of Conduct](https://christinehou11.github.io/BatchSVG/CODE_OF_CONDUCT.html).
By contributing to this project, you agree to abide by its terms.