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Regression as a Method to Predict Copy Numbers in Comparative Genomic Hybridization Studies on Bacteria by Guri Feten; Trygve Almøy; Lars Snipen; Ågot Aakra; Are H. Aastveit is a Mathematics article available to read on EtoBox.

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## Abstract Comparative genomic hybridizations (CGH) using microarrays are performed with bacteria in order to determine the level of genomic similarity between various strains. The microarrays applied in CGH experiments are constructed on the basis of the genome sequence of one strain, which is used as a control, or reference, in each experiment. A strain being compared with the known strain is called the unknown strain. The ratios of fluorescent intensities obtained from the spots on the microarrays can be used to determine which genes are divergent in the unknown strain, as well as to predict the copy number of actual genes in the unknown strain. In this paper, we focus on the prediction of gene copy number based on data from CGH experiments. We assumed a linear connection between the log~2~ of the copy number and the observed log~2~‐ratios, then predictors based on the factor analysis model and the linear random model were proposed in an attempt to identify the copy numbers. These predictors were compared to using the ratio of the intensities directly. Simulations indicated that the proposed predictors improved the prediction of the copy number in most situations. The predictor

Who reads Regression as a Method to Predict Copy Numbers in Comparative Genomic Hybridization Studies on Bacteria?

Author

Guri Feten; Trygve Almøy; Lars Snipen; Ågot Aakra; Are H. Aastveit

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Ltd.; Wiley (ISSN 0323-3847)

Published

2006

Field

Mathematics (Physical Sciences)