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Management and analysis of DNA microarray data by using weighted trees

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Abstract

We investigate discrete structures and combinatoric modeling of weighted prefix trees for managing and analyzing DNA microarray data. We describe the algorithms to construct the weighted trees for these data. Using these weighted trees with our algorithms, we propose methods to compute the appearance probability of a DNA microarray, to compare the informational distances in the expression of genes between the DNA microarrays, to search the characteristic microarrays and the group of candidate genes suggestive of a pathology.

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Authors and Affiliations

  1. EA-2694 – Centre Intégré de BioInformatique – Université de Lille 2, 1 Place Verdun, Lille Cedex, 59045, France

    Trang Tran, Cam Chi Nguyen & Ngoc Minh Hoang

Authors
  1. Trang Tran
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  2. Cam Chi Nguyen
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  3. Ngoc Minh Hoang
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Correspondence to Trang Tran.

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Tran, T., Nguyen, C.C. & Hoang, N.M. Management and analysis of DNA microarray data by using weighted trees. J Glob Optim 39, 623–645 (2007). https://doi.org/10.1007/s10898-007-9158-9

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  • DOI: https://doi.org/10.1007/s10898-007-9158-9

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