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Identification of genetic networks by strategic gene disruptions and gene overexpressions under a boolean model

✍ Scribed by Tatsuya Akutsu; Satoru Kuhara; Osamu Maruyama; Satoru Miyano


Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
233 KB
Volume
298
Category
Article
ISSN
0304-3975

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✦ Synopsis


Analysis of the interactions between genes by systematic gene disruptions and gene overexpressions is an important topic in molecular biology. This paper analyses the problem of identifying a genetic network from the data obtained by multiple gene disruptions and overexpressions in regard to the number of experiments and the complexity of experiments. An experiment consists of simultaneous gene disruptions and overexpressions and the complexity of an experiment is the number of genes disrupted or overexpressed. We deÿne a genetic network as a boolean network and show a series of algorithms which describe methods for identifying the underlying genetic network by such experiments. Some lower bounds on the number of experiments required for the identiÿcation are also proved for some cases.