The aim of this work is to provide a new definition of Mutual Information using concepts from Fuzzy Sets theory. With this approach, we extended the model on which the well-known REVEAL algorithm for Reverse Engineering of gene regulatory networks is based and we designed a new flexible version of it, called FuzzyReveal. The predictive power of our new version of the algorithm is promising, being comparable with a state-of-the-art algorithm on a set of simulated problems.

Fuzzy Mutual Information for Reverse Engineering of Gene Regulatory Networks

BADALONI, SILVANA;FALDA, MARCO;
2009

Abstract

The aim of this work is to provide a new definition of Mutual Information using concepts from Fuzzy Sets theory. With this approach, we extended the model on which the well-known REVEAL algorithm for Reverse Engineering of gene regulatory networks is based and we designed a new flexible version of it, called FuzzyReveal. The predictive power of our new version of the algorithm is promising, being comparable with a state-of-the-art algorithm on a set of simulated problems.
2009
International Joint Conference on Computational Intelligence, Proceedings
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/2447565
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