Journal Title
Title of Journal: Genet Program Evolvable Mach
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Abbravation: Genetic Programming and Evolvable Machines
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Authors: Leonardo Vanneschi Matteo Mondini Martino Bertoni Alberto Ronchi Mattia Stefano
Publish Date: 2013/03/22
Volume: 14, Issue: 4, Pages: 431-455
Abstract
Genetic programming researchers have shown a growing interest in the study of gene regulatory networks in the last few years Our team has also contributed to the field by defining two systems for the automatic reverse engineering of gene regulatory networks called GRNGen and GeNet In this paper we revise this work by describing in detail the two approaches and empirically comparing them The results we report and in particular the fact that GeNet can be used on large networks while GRNGen cannot encourage us to pursue the study of GeNet in the future We conclude the paper by discussing the main research directions that we are planning to investigate to improve GeNet
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