drisso/awst: Asymmetric Within-Sample Transformation

We propose an Asymmetric Within-Sample Transformation (AWST) to regularize RNA-seq read counts and reduce the effect of noise on the classification of samples. AWST comprises two main steps: standardization and smoothing. These steps transform gene expression data to reduce the noise of the lowly expressed features, which suffer from background effects and low signal-to-noise ratio, and the influence of the highly expressed features, which may be the result of amplification bias and other experimental artifacts.

Getting started

Package details

Bioconductor views GeneExpression Normalization RNASeq Sequencing SingleCell Software Transcriptomics
LicenseMIT + file LICENSE
URL https://github.com/drisso/awst
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
drisso/awst documentation built on Jan. 29, 2024, 3:42 p.m.