Skip Navigation

This Article
Right arrow FREE Full Text (Print PDF) Freely available
Right arrow FREE Full Text (Screen PDF)
Right arrow Comments: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when Comments are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (114)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Cope, L. M.
Right arrow Articles by Speed, T. P.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Cope, L. M.
Right arrow Articles by Speed, T. P.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Bioinformatics 20(3) © Oxford University Press 2004; all rights reserved.

A benchmark for Affymetrix GeneChip expression measures

Leslie M. Cope 1, Rafael A. Irizarry 2,*, Harris A. Jaffee 2, Zhijin Wu 2 and Terence P. Speed 3

1 Department of Mathematical Sciences, Johns Hopkins University, 104 Whitehead Hall, 3400 North Charles Street, Baltimore, MD 21218, USA, 2 Department of Biostatistics, Johns Hopkins University, 615 N. Wolfe Street, Baltimore, MD 21205, USA and 3 Department of Statistics, University of California, Berkeley, 367 Evans Hall, Berkeley, CA 94720, USA

Received on May 9, 2003 ; revised on July 17, 2003 ; accepted on August 3, 2003

Motivation: The defining feature of oligonucleotide expression arrays is the use of several probes to assay each targeted transcript. This is a bonanza for the statistical geneticist, who can create probeset summaries with specific characteristics. There are now several methods available for summarizing probe level data from the popular Affymetrix GeneChips, but it is difficult to identify the best method for a given inquiry.

Results: We have developed a graphical tool to evaluate summaries of Affymetrix probe level data. Plots and summary statistics offer a picture of how an expression measure performs in several important areas. This picture facilitates the comparison of competing expression measures and the selection of methods suitable for a specific investigation. The key is a benchmark data set consisting of a dilution study and a spike-in study. Because the truth is known for these data, we can identify statistical features of the data for which the expected outcome is known in advance. Those features highlighted in our suite of graphs are justified by questions of biological interest and motivated by the presence of appropriate data.

Availability: In conjunction with the release of a graphics toolbox as part of the Bioconductor project (http://www.bioconductor.org), a webtool is available at http://affycomp.biostat.jhsph.edu. Supplemental material is available at http://www.biostat.jhsph.edu/~ririzarr/papers/suppaffycomp.pdf

Contact: rafa{at}jhu.edu

* To whom correspondence should be addressed.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
BioinformaticsHome page
N. Whiteford, T. Skelly, C. Curtis, M. E. Ritchie, A. Lohr, A. W. Zaranek, I. Abnizova, and C. Brown
Swift: primary data analysis for the Illumina Solexa sequencing platform
Bioinformatics, September 1, 2009; 25(17): 2194 - 2199.
[Abstract] [Full Text] [PDF]


Home page
Infect. Immun.Home page
Y. Ma, J. C. Miller, H. Crandall, E. T. Larsen, D. M. Dunn, R. B. Weiss, M. Subramanian, J. H. Weis, J. F. Zachary, C. Teuscher, et al.
Interval-Specific Congenic Lines Reveal Quantitative Trait Loci with Penetrant Lyme Arthritis Phenotypes on Chromosomes 5, 11, and 12
Infect. Immun., August 1, 2009; 77(8): 3302 - 3311.
[Abstract] [Full Text] [PDF]


Home page
Brief BioinformHome page
W. B. Langdon, G. J. G. Upton, and A. P. Harrison
Probes containing runs of guanines provide insights into the biophysics and bioinformatics of Affymetrix GeneChips
Brief Bioinform, May 1, 2009; 10(3): 259 - 277.
[Abstract] [Full Text] [PDF]


Home page
Brief Funct Genomic ProteomicHome page
G. J. G. Upton, O. Sanchez-Graillet, J. Rowsell, J. M. Arteaga-Salas, N. S. Graham, M. A. Stalteri, F. N. Memon, S. T. May, and A. P. Harrison
On the causes of outliers in Affymetrix GeneChip data
Brief Funct Genomic Proteomic, May 1, 2009; 8(3): 199 - 212.
[Abstract] [Full Text] [PDF]


Home page
Nucleic Acids ResHome page
D. Sarkar, R. Parkin, S. Wyman, A. Bendoraite, C. Sather, J. Delrow, A. K. Godwin, C. Drescher, W. Huber, R. Gentleman, et al.
Quality Assessment and Data Analysis for microRNA Expression Arrays
Nucleic Acids Res., February 1, 2009; 37(2): e17 - e17.
[Abstract] [Full Text] [PDF]


Home page
BioinformaticsHome page
C. Furusawa, N. Ono, S. Suzuki, T. Agata, H. Shimizu, and T. Yomo
Model-based analysis of non-specific binding for background correction of high-density oligonucleotide microarrays
Bioinformatics, January 1, 2009; 25(1): 36 - 41.
[Abstract] [Full Text] [PDF]


Home page
Nucleic Acids ResHome page
M. N. McCall and R. A. Irizarry
Consolidated strategy for the analysis of microarray spike-in data
Nucleic Acids Res., October 1, 2008; 36(17): e108 - e108.
[Abstract] [Full Text] [PDF]


Home page
Clin. Cancer Res.Home page
K. Owzar, W. T. Barry, S.-H. Jung, I. Sohn, and S. L. George
Statistical Challenges in Preprocessing in Microarray Experiments in Cancer
Clin. Cancer Res., October 1, 2008; 14(19): 5959 - 5966.
[Abstract] [Full Text] [PDF]


Home page
Cancer Prevention ResearchHome page
Z. H. Gumus, B. Du, A. Kacker, J. O. Boyle, J. M. Bocker, P. Mukherjee, K. Subbaramaiah, A. J. Dannenberg, and H. Weinstein
Effects of Tobacco Smoke on Gene Expression and Cellular Pathways in a Cellular Model of Oral Leukoplakia
Cancer Prevention Research, July 1, 2008; 1(2): 100 - 111.
[Abstract] [Full Text] [PDF]


Home page
BioinformaticsHome page
J. W.K. Ho, M. Stefani, C. G. dos Remedios, and M. A. Charleston
Differential variability analysis of gene expression and its application to human diseases
Bioinformatics, July 1, 2008; 24(13): i390 - i398.
[Abstract] [Full Text] [PDF]


Home page
BioinformaticsHome page
N. Ono, S. Suzuki, C. Furusawa, T. Agata, A. Kashiwagi, H. Shimizu, and T. Yomo
An improved physico-chemical model of hybridization on high-density oligonucleotide microarrays
Bioinformatics, May 15, 2008; 24(10): 1278 - 1285.
[Abstract] [Full Text] [PDF]


Home page
J. Biol. Chem.Home page
G. Stoecklin, S. A. Tenenbaum, T. Mayo, S. V. Chittur, A. D. George, T. E. Baroni, P. J. Blackshear, and P. Anderson
Genome-wide Analysis Identifies Interleukin-10 mRNA as Target of Tristetraprolin
J. Biol. Chem., April 25, 2008; 283(17): 11689 - 11699.
[Abstract] [Full Text] [PDF]


Home page
BioinformaticsHome page
J. Xu and X. Cui
Robustified MANOVA with applications in detecting differentially expressed genes from oligonucleotide arrays
Bioinformatics, April 15, 2008; 24(8): 1056 - 1062.
[Abstract] [Full Text] [PDF]


Home page
J. Biol. Chem.Home page
J. L. Pearson, T. J. Robinson, M. J. Munoz, A. R. Kornblihtt, and M. A. Garcia-Blanco
Identification of the Cellular Targets of the Transcription Factor TCERG1 Reveals a Prevalent Role in mRNA Processing
J. Biol. Chem., March 21, 2008; 283(12): 7949 - 7961.
[Abstract] [Full Text] [PDF]


Home page
Brief BioinformHome page
J. M. Arteaga-Salas, H. Zuzan, W. B. Langdon, G. J. G. Upton, and A. P. Harrison
An overview of image-processing methods for Affymetrix GeneChips
Brief Bioinform, January 1, 2008; 9(1): 25 - 33.
[Abstract] [Full Text] [PDF]


Home page
BioinformaticsHome page
N. Raghavan, A. M. I. M. De Bondt, W. Talloen, D. Moechars, H. W. H. Gohlmann, and D. Amaratunga
The high-level similarity of some disparate gene expression measures
Bioinformatics, November 15, 2007; 23(22): 3032 - 3038.
[Abstract] [Full Text] [PDF]


Home page
BioinformaticsHome page
W. K. Lim, K. Wang, C. Lefebvre, and A. Califano
Comparative analysis of microarray normalization procedures: effects on reverse engineering gene networks
Bioinformatics, July 1, 2007; 23(13): i282 - i288.
[Abstract] [Full Text] [PDF]


Home page
Hum Mol GenetHome page
G. Sadri-Vakili, B. Bouzou, C. L. Benn, M.-O. Kim, P. Chawla, R. P. Overland, K. E. Glajch, E. Xia, Z. Qiu, S. M. Hersch, et al.
Histones associated with downregulated genes are hypo-acetylated in Huntington's disease models
Hum. Mol. Genet., June 1, 2007; 16(11): 1293 - 1306.
[Abstract] [Full Text] [PDF]


Home page
BioinformaticsHome page
A. Oshlack, A. E. Chabot, G. K. Smyth, and Y. Gilad
Using DNA microarrays to study gene expression in closely related species
Bioinformatics, May 15, 2007; 23(10): 1235 - 1242.
[Abstract] [Full Text] [PDF]


Home page
BioinformaticsHome page
K. Lo and R. Gottardo
Flexible empirical Bayes models for differential gene expression
Bioinformatics, February 1, 2007; 23(3): 328 - 335.
[Abstract] [Full Text] [PDF]


Home page
BioinformaticsHome page
Z. Chen, M. McGee, Q. Liu, and R. H. Scheuermann
A distribution free summarization method for Affymetrix GeneChip(R) arrays
Bioinformatics, February 1, 2007; 23(3): 321 - 327.
[Abstract] [Full Text] [PDF]


Home page
Physiol. GenomicsHome page
T. S. Mehta, S. O. Zakharkin, G. L. Gadbury, and D. B. Allison
Epistemological issues in omics and high-dimensional biology: give the people what they want
Physiol Genomics, December 13, 2006; 28(1): 24 - 32.
[Abstract] [Full Text] [PDF]


Home page
BioinformaticsHome page
S. Yoon, Y. Yang, J. Choi, and J. Seong
Large scale data mining approach for gene-specific standardization of microarray gene expression data
Bioinformatics, December 1, 2006; 22(23): 2898 - 2904.
[Abstract] [Full Text] [PDF]


Home page
BioinformaticsHome page
A. L. Oberg, D. W. Mahoney, K. V. Ballman, and T. M. Therneau
Joint estimation of calibration and expression for high-density oligonucleotide arrays
Bioinformatics, October 1, 2006; 22(19): 2381 - 2387.
[Abstract] [Full Text] [PDF]


Home page
BioinformaticsHome page
D. R. Goldstein
Partition resampling and extrapolation averaging: approximation methods for quantifying gene expression in large numbers of short oligonucleotide arrays
Bioinformatics, October 1, 2006; 22(19): 2364 - 2372.
[Abstract] [Full Text] [PDF]


Home page
Nucleic Acids ResHome page
D. Abdueva, D. Skvortsov, and S. Tavare
Non-linear analysis of GeneChip arrays
Nucleic Acids Res., September 10, 2006; 34(15): e105 - e105.
[Abstract] [Full Text] [PDF]


Home page
GeneticsHome page
K. A. Hughes, J. F. Ayroles, M. M. Reedy, J. M. Drnevich, K. C. Rowe, E. A. Ruedi, C. E. Caceres, and K. N. Paige
Segregating Variation in the Transcriptome: Cis Regulation and Additivity of Effects
Genetics, July 1, 2006; 173(3): 1347 - 1355.
[Abstract] [Full Text] [PDF]


Home page
Mol Hum ReprodHome page
M. Khare, A. H. Taylor, J. C. Konje, and S. C. Bell
{Delta}9-Tetrahydrocannabinol inhibits cytotrophoblast cell proliferation and modulates gene transcription
Mol. Hum. Reprod., May 1, 2006; 12(5): 321 - 333.
[Abstract] [Full Text] [PDF]


Home page
BioinformaticsHome page
S. Hochreiter, D.-A. Clevert, and K. Obermayer
A new summarization method for affymetrix probe level data
Bioinformatics, April 15, 2006; 22(8): 943 - 949.
[Abstract] [Full Text] [PDF]


Home page
BioinformaticsHome page
R. A. Irizarry, Z. Wu, and H. A. Jaffee
Comparison of Affymetrix GeneChip expression measures
Bioinformatics, April 1, 2006; 22(7): 789 - 794.
[Abstract] [Full Text] [PDF]


Home page
Brief BioinformHome page
M. Rattray, X. Liu, G. Sanguinetti, M. Milo, and N. D. Lawrence
Propagating uncertainty in microarray data analysis
Brief Bioinform, March 1, 2006; 7(1): 37 - 47.



Home page
J. Mol. Diagn.Home page
D. Chowdary, J. Lathrop, J. Skelton, K. Curtin, T. Briggs, Y. Zhang, J. Yu, Y. Wang, and A. Mazumder
Prognostic Gene Expression Signatures Can Be Measured in Tissues Collected in RNAlater Preservative
J. Mol. Diagn., February 1, 2006; 8(1): 31 - 39.
[Abstract] [Full Text] [PDF]


Home page
BioinformaticsHome page
D. de Ridder, F. J. T. Staal, J. J. M. van Dongen, and M. J. T. Reinders
Maximum significance clustering of oligonucleotide microarrays
Bioinformatics, February 1, 2006; 22(3): 326 - 331.
[Abstract] [Full Text] [PDF]


Home page
Genes Dev.Home page
M. K. Jakobsen,, L. R. Poulsen,, A. Schulz,, P. Fleurat-Lessard,, A. Moller,, S. Husted,, M. Schiott,, A. Amtmann,, and M. G. Palmgren,
Pollen development and fertilization in Arabidopsis is dependent on the MALE GAMETOGENESIS IMPAIRED ANTHERS gene encoding a Type V P-type ATPase
Genes & Dev., November 15, 2005; 19(22): 2757 - 2769.
[Abstract] [Full Text] [PDF]


Home page
Clin. Cancer Res.Home page
S. M. Lin and W. A. Kibbe
Irrational Exuberance in Clinical Proteomics
Clin. Cancer Res., November 15, 2005; 11(22): 7963 - 7964.
[Full Text] [PDF]


Home page
BioinformaticsHome page
L. Zhou and D. M. Rocke
An expression index for Affymetrix GeneChips based on the generalized logarithm
Bioinformatics, November 1, 2005; 21(21): 3983 - 3989.
[Abstract] [Full Text] [PDF]


Home page
JCOHome page
N. L.G. Sieben, J. Oosting, A. M. Flanagan, J. Prat, G. M.J.M. Roemen, S. M. Kolkman-Uljee, R. van Eijk, C. J. Cornelisse, G. J. Fleuren, and M. van Engeland
Differential Gene Expression in Ovarian Tumors Reveals Dusp 4 and Serpina 5 As Key Regulators for Benign Behavior of Serous Borderline Tumors
J. Clin. Oncol., October 10, 2005; 23(29): 7257 - 7264.
[Abstract] [Full Text] [PDF]


Home page
BioinformaticsHome page
X. Liu, M. Milo, N. D. Lawrence, and M. Rattray
A tractable probabilistic model for Affymetrix probe-level analysis across multiple chips
Bioinformatics, September 15, 2005; 21(18): 3637 - 3644.
[Abstract] [Full Text] [PDF]


Home page
BiostatisticsHome page
A.-M. K. Hein, S. Richardson, H. C. Causton, G. K. Ambler, and P. J. Green
BGX: a fully Bayesian integrated approach to the analysis of Affymetrix GeneChip data
Biostat., July 1, 2005; 6(3): 349 - 373.
[Abstract] [Full Text] [PDF]


Home page
Nucleic Acids ResHome page
C. Wu, R. Carta, and L. Zhang
Sequence dependence of cross-hybridization on short oligo microarrays
Nucleic Acids Res., May 24, 2005; 33(9): e84 - e84.
[Abstract] [Full Text] [PDF]


Home page
Mol. Cell. ProteomicsHome page
M. Maziarz, C. Chung, D. J. Drucker, and A. Emili
Integrating Global Proteomic and Genomic Expression Profiles Generated from Islet {alpha} Cells: Opportunities and Challenges to Deriving Reliable Biological Inferences
Mol. Cell. Proteomics, April 1, 2005; 4(4): 458 - 474.
[Abstract] [Full Text] [PDF]


Home page
Nucleic Acids ResHome page
Y. L. Yap, M. P. Wong, X. W. Zhang, D. Hernandez, R. Gras, D. K. Smith, and A. Danchin
Conserved transcription factor binding sites of cancer markers derived from primary lung adenocarcinoma microarrays
Nucleic Acids Res., January 14, 2005; 33(1): 409 - 421.
[Abstract] [Full Text] [PDF]



Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.