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Bioinformatics Vol. 18 no. 12 2002
Pages 1585-1592
© 2002 Oxford University Press

Robust estimators for expression analysis

Earl Hubbell *, Wei-Min Liu and Rui Mei

Affymetrix, 3380 Central Expressway, Santa Clara, CA 95051, USA

Motivation: We consider the problem of estimating values associated with gene expression from oligonucleotide arrays. Such estimates should linearly track concentration, yield non-negative results, have statistical guarantees of robustness against outliers, and allow estimates of significance and variance.

Results: A hierarchy of simple models is used to design robust estimators meeting these goals for both stand alone and comparative experiments. This algorithm has been validated against an extensive panel of known spike experiments, and shows comparable performance to existing standards.

Availability: Algorithms available commercially as part of the MAS 5.0 software package. Data sets available from the Affymetrix website.

Contact: earl_hubbell{at}affymetrix.com

Supplemental Information: http://www.affymetrix.com/community/publications/affymetrix/index.affx

* To whom correspondence should be addressed.


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