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awst

Asymmetric Within-Sample Transformation

Bioconductor version: 3.23 · Package version: 1.20.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("awst")

Details

MaintainerDavide Risso <risso.davide@gmail.com>
AuthorDavide Risso [aut, cre, cph] (ORCID: <https://orcid.org/0000-0001-8508-5012>), Stefano Pagnotta [aut, cph] (ORCID: <https://orcid.org/0000-0002-8298-9777>)
LicenseMIT + file LICENSE
URLhttps://github.com/drisso/awst
Bug Reportshttps://github.com/drisso/awst/issues
Downloads rank370
Source branchRELEASE_3_23
biocViewsGeneExpression, Normalization, RNASeq, Sequencing, SingleCell, Software, Transcriptomics

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageawst_1.20.0.tar.gz
Windows binary (x86_64)awst_1.20.0.zip
macOS binary (arm64)awst_1.20.0.tgz
macOS binary (x86_64)awst_1.20.0.tgz
Dependencies

Imports: stats, methods, SummarizedExperiment

Suggests: airway, ggplot2, testthat, EDASeq, knitr, BiocStyle, RefManageR, sessioninfo, rmarkdown