GlobalAncova

Calculates a global test for differential gene expression between groups

Bioconductor version: Development (2.8)

We give the following arguments in support of the GlobalAncova approach: After appropriate normalisation, gene-expression-data appear rather symmetrical and outliers are no real problem, so least squares should be rather robust. ANCOVA with interaction yields saturated data modelling e.g. different means per group and gene. Covariate adjustment can help to correct for possible selection bias. Variance homogeneity and uncorrelated residuals cannot be expected. Application of ordinary least squares gives unbiased, but no longer optimal estimates (Gauss-Markov-Aitken). Therefore, using the classical F-test is inappropriate, due to correlation. The test statistic however mirrors deviations from the null hypothesis. In combination with a permutation approach, empirical significance levels can be approximated. Alternatively, an approximation yields asymptotic p-values. This work was supported by the NGFN grant 01 GR 0459, BMBF, Germany.

Author: U. Mansmann, R. Meister, M. Hummel, R. Scheufele, with contributions from S. Knueppel

Maintainer: Manuela Hummel

To install this package, start R and enter:

source("http:///biocLite.R")
biocLite("GlobalAncova")    

Documentation

PDF	R Script	GlobalAncova.pdf
PDF	R Script	GlobalAncovaDecomp.pdf

Reference Manual

Details

biocViews	Microarray, OneChannel, Bioinformatics, DifferentialExpression, Pathways
Depends	methods, corpcor, globaltest
Imports	annotate, AnnotationDbi
Suggests	Biobase, annotate, GO.db, KEGG.db, golubEsets, hu6800.db, vsn, GSEABase
System Requirements
License	GPL (>= 2)
URL
Depends On Me
Imports Me
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Version	3.19.1

Package Downloads

Package Source	GlobalAncova_3.19.1.tar.gz
Windows Binary	GlobalAncova_3.19.1.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	GlobalAncova_3.19.1.tgz
Package Downloads Report	Download Stats