ELBOW

DOI: 10.18129/B9.bioc.ELBOW    

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

This package is for version 3.13 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see ELBOW.

ELBOW - Evaluating foLd change By the lOgit Way

Bioconductor version: 3.13

Elbow an improved fold change test that uses cluster analysis and pattern recognition to set cut off limits that are derived directly from intrareplicate variance without assuming a normal distribution for as few as 2 biological replicates. Elbow also provides the same consistency as fold testing in cross platform analysis. Elbow has lower false positive and false negative rates than standard fold testing when both are evaluated using T testing and Statistical Analysis of Microarray using 12 replicates (six replicates each for initial and final conditions). Elbow provides a null value based on initial condition replicates and gives error bounds for results to allow better evaluation of significance.

Author: Xiangli Zhang, Natalie Bjorklund, Graham Alvare, Tom Ryzdak, Richard Sparling, Brian Fristensky

Maintainer: Graham Alvare <alvare at cc.umanitoba.ca>, Xiangli Zhang <justinzhang.xl at gmail.com>

Installation

To install this package, start R (version "4.1") and enter:

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

BiocManager::install("ELBOW")

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

Documentation

PDF		Reference Manual

Details

biocViews	GeneExpression, ImmunoOncology, Microarray, MultiChannel, OneChannel, RNASeq, Sequencing, Software, Technology, TwoChannel
Version	1.28.0
In Bioconductor since	BioC 2.14 (R-3.1) (7.5 years)
License	file LICENSE
Depends	R (>= 2.15.0)
Imports	graphics, stats, utils
LinkingTo
Suggests	DESeq, GEOquery, limma, simpleaffy, affyPLM, RColorBrewer, hgu133plus2cdf, hgu133plus2probe
SystemRequirements
Enhances
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Depends On Me
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Build Report

Package Archives

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

Source Package
Windows Binary
macOS 10.13 (High Sierra)
Source Repository	git clone https://git.bioconductor.org/packages/ELBOW
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/ELBOW
Package Short Url	https://bioconductor.org/packages/ELBOW/
Package Downloads Report	Download Stats