# awst <!-- badges: start --> [![R-CMD-check-bioc](https://github.com/drisso/awst/workflows/R-CMD-check-bioc/badge.svg)](https://github.com/drisso/awst/actions) <!-- badges: end --> 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.