Near-optimal designs for dual-channel microarray studies.

Wit, Ernst and Khanin, Raya and Nobile, Agostino (2005) Near-optimal designs for dual-channel microarray studies. Journal of the Royal Statistical Society: Series C (Applied Statistics), 54 (5). pp. 817-830. ISSN 0035-9254

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Summary. Much biological and medical research employs microarray studies to monitor gene expression levels across a wide range of organisms and under many experimental conditions. Dual channel microarrays are a common platform and allow two samples to be measured simultaneously. A frequently used design uses a common reference sample to make conditions across different arrays comparable. Our aim is to formulate microarray experiments in the experimental design context and to use simulated annealing to search for near-optimal designs. We identify a subclass of designs, the so-called interwoven loop designs, that seems to have good optimality properties compared with the near-optimal designs that are found by simulated annealing. Commonly used reference designs and dye swap designs are shown to be highly inefficient.

Item Type: Journal Article
Journal or Publication Title: Journal of the Royal Statistical Society: Series C (Applied Statistics)
Additional Information: RAE_import_type : Journal article RAE_uoa_type : Statistics and Operational Research
Uncontrolled Keywords: /dk/atira/pure/researchoutput/libraryofcongress/qa
Departments: Faculty of Science and Technology > Mathematics and Statistics
ID Code: 2454
Deposited By: ep_importer
Deposited On: 29 Mar 2008 11:53
Refereed?: Yes
Published?: Published
Last Modified: 07 Jan 2020 02:36

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