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Article Dans Une Revue Intelligent Data Analysis Année : 2010

From Digital Genetics to Knowledge Discovery: Perspectives in Genetic Network Understanding

Résumé

In this paper, we propose an original computational approach to assist knowledge discovery in complex biological networks. First, we present an integrated model of the evolution of regulation networks that can be used to uncover organization principles of such networks. Then, we propose to use the results of our model as a benchmark for knowledge discovery algorithms. We describe a first experiment of such benchmarking by using gene knock-out data generated from the modeled organisms.
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Dates et versions

hal-00697024 , version 1 (14-05-2012)

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Guillaume Beslon, David P. Parsons, Jose-Maria Pena, Christophe Rigotti, Yolanda Sanchez-Dehesa. From Digital Genetics to Knowledge Discovery: Perspectives in Genetic Network Understanding. Intelligent Data Analysis, 2010, 14 (2), pp.173--191. ⟨10.3233/IDA-2010-0415⟩. ⟨hal-00697024⟩
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