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 1467-9876Full text not available from this repository.
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.
|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|
|Subjects:||Q Science > QA Mathematics|
|Departments:||Faculty of Science and Technology > Mathematics and Statistics|
|Deposited On:||29 Mar 2008 11:53|
|Last Modified:||06 Sep 2013 19:09|
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