A Model of Technical Variation of Microarray Signals
| Autor: | E. Chudin, Steffen Oeser, Timothy K. McDaniel, David J.P. Barker, Shawn C. Baker, Semyon Kruglyak |
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| Rok vydání: | 2006 |
| Předmět: |
Models
Genetic Microarray Dynamic range Computational Biology Variation (game tree) Biology computer.software_genre Signal Standard deviation Fold change Set (abstract data type) Computational Mathematics Computational Theory and Mathematics Data Interpretation Statistical Modeling and Simulation Genetics Data mining Quality characteristics Biological system Molecular Biology computer Oligonucleotide Array Sequence Analysis |
| Zdroj: | Journal of Computational Biology. 13:996-1003 |
| ISSN: | 1557-8666 1066-5277 |
| DOI: | 10.1089/cmb.2006.13.996 |
| Popis: | We describe a mathematical model of signal from single-channel direct hybridization microarray platforms. The model establishes a linear relationship between microarray signals and their standard deviations from a minimum set of assumptions. We use the model to precisely define important microarray quality characteristics: resolved fold change and dynamic range. The definitions lead to closed form expressions relating these characteristics to physical parameters of the microarray experiment in the case when both specific and nonspecific binding of target to probe are governed by the Langmuir hybridization isotherm. The predictions of the model are in close agreement to data obtained from spike-in experiments. Given the generality of the model, the introduced definitions of dynamic range and resolved concentration fold-change can be used to conduct cross-platform comparisons and to guide improvement of the microarray platform. |
| Databáze: | OpenAIRE |
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