Jump to ContentJump to Main Navigation
Show Summary Details

Statistical Applications in Genetics and Molecular Biology

Editor-in-Chief: Stumpf, Michael P.H.

6 Issues per year


IMPACT FACTOR increased in 2015: 1.265
5-year IMPACT FACTOR: 1.423
Rank 42 out of 123 in category Statistics & Probability in the 2015 Thomson Reuters Journal Citation Report/Science Edition

SCImago Journal Rank (SJR) 2015: 0.954
Source Normalized Impact per Paper (SNIP) 2015: 0.554
Impact per Publication (IPP) 2015: 1.061

Mathematical Citation Quotient (MCQ) 2015: 0.06

Online
ISSN
1544-6115
See all formats and pricing

 



30,00 € / $42.00 / £23.00

Get Access to Full Text

Empirical Bayes Microarray ANOVA and Grouping Cell Lines by Equal Expression Levels

Ingrid Lönnstedt
  • Uppsala University
/ Rebecca Rimini
  • Department of Biotechnology, KTH - Royal Institute of Technology
/ Peter Nilsson
  • Department of Biotechnology, KTH - Royal Institute of Technology
Published Online: 2005-04-18 | DOI: https://doi.org/10.2202/1544-6115.1125

In the exploding field of gene expression techniques such as DNA microarrays, there are still few general probabilistic methods for analysis of variance. Linear models and ANOVA are heavily used tools in many other disciplines of scientific research. The usual F-statistic is unsatisfactory for microarray data, which explore many thousand genes in parallel, with few replicates.We present three potential one-way ANOVA statistics in a parametric statistical framework. The aim is to separate genes that are differently regulated across several treatment conditions from those with equal regulation. The statistics have different features and are evaluated using both real and simulated data. Our statistic B1 generally shows the best performance, and is extended for use in an algorithm that groups cell lines by equal expression levels for each gene. An extension is also outlined for more general ANOVA tests including several factors.The methods presented are implemented in the freely available statistical language R. They are available at http://www.math.uu.se/staff/pages/?uname=ingrid.

Keywords: microarray; differential expression; empirical Bayes; ANOVA


Published Online: 2005-04-18


Citation Information: Statistical Applications in Genetics and Molecular Biology. Volume 4, Issue 1, ISSN (Online) 1544-6115, ISSN (Print) 2194-6302, DOI: https://doi.org/10.2202/1544-6115.1125, April 2005

Citing Articles

Here you can find all Crossref-listed publications in which this article is cited. If you would like to receive automatic email messages as soon as this article is cited in other publications, simply activate the “Citation Alert” on the top of this page.

[1]
Peter Kupfer, Reinhard Guthke, Dirk Pohlers, Rene Huber, Dirk Koczan, and Raimund W Kinne
BMC Medical Genomics, 2012, Volume 5, Number 1, Page 23
[2]
Yu Chuan Tai and Terence P. Speed
Biometrics, 2009, Volume 65, Number 1, Page 40

Comments (0)

Please log in or register to comment.