OSAT

OSAT: Optimal Sample Assignment Tool


Bioconductor version: Release (3.19)

A sizable genomics study such as microarray often involves the use of multiple batches (groups) of experiment due to practical complication. To minimize batch effects, a careful experiment design should ensure the even distribution of biological groups and confounding factors across batches. OSAT (Optimal Sample Assignment Tool) is developed to facilitate the allocation of collected samples to different batches. With minimum steps, it produces setup that optimizes the even distribution of samples in groups of biological interest into different batches, reducing the confounding or correlation between batches and the biological variables of interest. It can also optimize the even distribution of confounding factors across batches. Our tool can handle challenging instances where incomplete and unbalanced sample collections are involved as well as ideal balanced RCBD. OSAT provides a number of predefined layout for some of the most commonly used genomics platform. Related paper can be find at http://www.biomedcentral.com/1471-2164/13/689 .

Author: Li Yan

Maintainer: Li Yan <li.yan at roswellpark.org>

Citation (from within R, enter citation("OSAT")):

Installation

To install this package, start R (version "4.4") and enter:


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

BiocManager::install("OSAT")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("OSAT")
An introduction to OSAT PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews DataRepresentation, ExperimentalDesign, QualityControl, Software, Visualization
Version 1.52.0
In Bioconductor since BioC 2.11 (R-2.15) (12 years)
License Artistic-2.0
Depends methods, stats
Imports
System Requirements
URL http://www.biomedcentral.com/1471-2164/13/689
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package OSAT_1.52.0.tar.gz
Windows Binary OSAT_1.52.0.zip
macOS Binary (x86_64) OSAT_1.52.0.tgz
macOS Binary (arm64) OSAT_1.52.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/OSAT
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/OSAT
Bioc Package Browser https://code.bioconductor.org/browse/OSAT/
Package Short Url https://bioconductor.org/packages/OSAT/
Package Downloads Report Download Stats