Finding optimal gene networks using biological constraints.

Sascha Ott; Satoru Miyano

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PubMed · 15706527

Finding optimal gene networks using biological constraints.

Sascha Ott·Satoru Miyano

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Abstract

The accurate estimation of gene networks from gene expression measurements is a major challenge in the field of Bioinformatics. Since the problem of estimating gene networks is NP-hard and exhibits a search space of super-exponential size, researchers are using heuristic algorithms for this task. However, little can be said about the accuracy of heuristic estimations. In order to overcome this problem, we present a general approach to reduce the search space to a biologically meaningful subspace and to find optimal solutions within the subspace in linear time. We show the effectiveness of this approach in application to yeast and Bacillus subtilis data.

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Algorithms Bayes Theorem Biology Cell Cycle Computational Biology Gene Expression Regulation Models, Genetic Multigene Family RNA, Messenger Saccharomyces cerevisiae Journal Article

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Sascha Ott, Satoru Miyano. 2003. Finding optimal gene networks using biological constraints.. https://pubmed.ncbi.nlm.nih.gov/15706527/

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