 
  
 
   
   This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see awst.
Bioconductor version: 3.15
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.
Author: Davide Risso [aut, cre, cph]  , Stefano Pagnotta [aut, cph]
, Stefano Pagnotta [aut, cph]  
 
Maintainer: Davide Risso <risso.davide at gmail.com>
Citation (from within R,
      enter citation("awst")):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("awst")
    For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("awst")
    
| HTML | R Script | Introduction to awst | 
| Reference Manual | ||
| Text | NEWS | |
| Text | LICENSE | 
| biocViews | GeneExpression, Normalization, RNASeq, Sequencing, SingleCell, Software, Transcriptomics | 
| Version | 1.4.0 | 
| In Bioconductor since | BioC 3.13 (R-4.1) (1.5 years) | 
| License | MIT + file LICENSE | 
| Depends | |
| Imports | stats, methods, SummarizedExperiment | 
| LinkingTo | |
| Suggests | airway, ggplot2, testthat, EDASeq, knitr, BiocStyle, RefManageR, sessioninfo, rmarkdown | 
| SystemRequirements | |
| Enhances | |
| URL | https://github.com/drisso/awst | 
| BugReports | https://github.com/drisso/awst/issues | 
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | 
Follow Installation instructions to use this package in your R session.
| Source Package | awst_1.4.0.tar.gz | 
| Windows Binary | awst_1.4.0.zip | 
| macOS Binary (x86_64) | awst_1.4.0.tgz | 
| Source Repository | git clone https://git.bioconductor.org/packages/awst | 
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/awst | 
| Package Short Url | https://bioconductor.org/packages/awst/ | 
| Package Downloads Report | Download Stats | 
 
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