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

Tatsuya Akutsu, Satoru Kuhara, Osamu Maruyama, Satoru Miyano

Research output: Contribution to journalArticlepeer-review

59 Citations (Scopus)

Abstract

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 define 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 identification are also proved for some cases.

Original languageEnglish
Pages (from-to)235-251
Number of pages17
JournalTheoretical Computer Science
Volume298
Issue number1
DOIs
Publication statusPublished - Apr 4 2003

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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