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Using ANOVA for gene selection from microarray studies of the nervous system Pavlidis, Paul

Description

Methods are presented for detecting differential expression using statistical hypothesis testing methods including analysis of variance (ANOVA). Practicalities of experimental design, power, and sample size are discussed. Methods for multiple testing correction and their application are described. Instructions for running typical analyses are given in the R programming environment. R code and the sample data set used to generate the examples are available at http://microarray.cpmc.columbia.edu/pavlidis/pub/aovmethods/.

Item Metadata

Title	Using ANOVA for gene selection from microarray studies of the nervous system
Creator	Pavlidis, Paul
Contributor	Cuthill, Melissa
Date Created	2003
Date Issued	2019-03-12
Description	Methods are presented for detecting differential expression using statistical hypothesis testing methods including analysis of variance (ANOVA). Practicalities of experimental design, power, and sample size are discussed. Methods for multiple testing correction and their application are described. Instructions for running typical analyses are given in the R programming environment. R code and the sample data set used to generate the examples are available at http://microarray.cpmc.columbia.edu/pavlidis/pub/aovmethods/.
Subject	Medicine, Health and Life Sciences; analysis of variance; ANOVA; gene expression; microarray; statistics; differential expression
Type	Dataset
Notes	http://hdl.handle.net/11272/10566
Date Available	2019-03-12
Provider	University of British Columbia Library
License	CC0 1.0
DOI	10.14288/1.0363895
URI	https://doi.org/10.5683/SP2/QCLEIJ
Publisher DOI	https://doi.org/10.5683/SP2/QCLEIJ
Rights URI	http://creativecommons.org/publicdomain/zero/1.0
Aggregated Source Repository	Dataverse

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CC0 1.0