# awst
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Asymmetric Winsorization per Sample Transformation
This package implements the AWST method presented in [Risso and Pagnotta (2020)](https://doi.org/10.1101/2020.06.04.134916).
## Installation
In virtually all cases, the package should be installed from Bioconductor, using the following command:
```{r}
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("awst")
```
In the rare case that you need the development version from Github, you can install it with:
```{r}
BiocManager::install("drisso/awst")
```
## Usage
The AWST transformation can be applied either directly on raw counts, or (recommended) to normalized counts. The input should be either a matrix with genes in rows and samples in columns or a SummarizedExperiment object.
```{r}
library(awst)
xt <- awst(x)
```
For detailed examples and use cases see the vignette and https://github.com/drisso/awst_analysis.
