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An R Package for Analyses of Affymetrix Oligonucleotide Arrays

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The Analysis of Gene Expression Data

Part of the book series: Statistics for Biology and Health ((SBH))

Abstract

We describe an extensible, interactive environment for data analysis and exploration of Affymetrix oligonucleotide array probe-level data. The software utilities provided with the Affymetrix analysis suite summarize the probe set intensities and makes available only one expression measure for each gene. We have developed this package because much can be learned from studying the individual probe intensities or, as we call them, the probe-level data. We provide some examples demonstrating that having access to and methods for probelevel data results in improvements to quality control assessments, normalization, and expression measures. The software is implemented as an add-on package, conveniently named affy, to the freely available and widely used statistical language/software R (Ihaka and Gentleman, 1996). The development of this software as an add-on to R allows us to take advantage of the basic mathematical and statistical functions and powerful graphics capabilities that are provided with R. Our package is distributed as open source code for Linux, Unix, and Microsoft Windows. It is is released under the GNU General Public License. It is part of the Bioconductor project and can be obtained from http://www.bioconductor.org.

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References

  • Affymetrix (1999). Affymetrix Microarray Suite User Guide. Affymetrix, Santa Clara, CA, version 4 edition.

    Google Scholar 

  • Ã…strand M (2001). Normalizing oligonucleotide arrays. Unpublished manuscript.

    Google Scholar 

  • Bolstad BM, Irizarry RA, Ã…strand M, Speed TP (in press). A comparison of normalization methods for high density oligonucleotide array data based on variance and bias. Bioinformatics.

    Google Scholar 

  • Dudoit S, Yang YH, Callow MJ, Speed TP (2001). Statistical methods for identifying genes with differential expression in replicated cDNA microarray experiments. Statistica Sinica, 12(1):111–139.

    MathSciNet  Google Scholar 

  • Hartemink AJ, Gifford DK, Jaakola TS, Young RA (2001). Maximum likelihood estimation of optimal scaling factors for expression array normalization. In SPIE BiOS.

    Google Scholar 

  • Ihaka R, Gentleman R (1996). R: A language for data analysis and graphics. Journal of Computational and Graphical Statistics, 5(3):299–314.

    Google Scholar 

  • Irizarry RA, Hobbs B, Collin F, Beazer-Barclay YD, Antonellis KJ, Scherf U, Speed TP (in press). Exploration, normalization, and summaries of high density oligonucleotide array probe level data. Bioinformatics.

    Google Scholar 

  • Knudsen S, Gautier L, Nielsen H, Nielsen C, Fomsgaard A, Tirstrup K, Blom N, Ponten TS, Workman C, Brunak S (2002). Hiv-1 induces transcription of cytoskeletal genes in t cells. Submitted.

    Google Scholar 

  • Lockhart DJ, Dong H, Byrne MC, Follettie MT, Gallo MV, Chee MS, Mittmann M, Wang C, Kobayashi M, Horton H, Brown EL (1996). Expression monitoring by hybridization to high-density oligonucleotide arrays. Nature Biotechnology, 14:1675–1680.

    Article  Google Scholar 

  • Li C, Wong WH (2001). Model-based analysis of oligonucleotide arrays: Expression index computation and outlier detection. Proceedings of the National Academy of Science USA, 98:31–36.

    Article  MATH  Google Scholar 

  • Naef F, Lim DA, Patil N, Magnasco MO (in press). From features to expression: High density oligonucleotide array analysis revisited. Proceedings of DIMACS Workshop on Analysis of Gene Expression Data.

    Google Scholar 

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© 2003 Springer-Verlag New York, Inc.

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Irizarry, R.A., Gautier, L., Cope, L.M. (2003). An R Package for Analyses of Affymetrix Oligonucleotide Arrays. In: Parmigiani, G., Garrett, E.S., Irizarry, R.A., Zeger, S.L. (eds) The Analysis of Gene Expression Data. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/0-387-21679-0_4

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  • DOI: https://doi.org/10.1007/0-387-21679-0_4

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-95577-3

  • Online ISBN: 978-0-387-21679-9

  • eBook Packages: Springer Book Archive

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