A new evolutionary gene regulatory network reverse engineering tool

Research output: Chapter in Book/Report/Conference proceedingChapter

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We present a new reverse-engineering framework for gene regulatory network reconstruction. It works on temporal series of gene activation data and, using genetic programming, it extracts the activation functions of the different genes from those data. Successively, the gene regulatory network is reconstructed exploiting the automatic feature selection performed by genetic programming and its dynamics can be simulated using the previously extracted activation functions. The framework was tested on the well-known IRMA gene regulatory network, a simple network composed by five genes in the yeast Saccharomyces cerevisiae, defined in 2009 as a simplified biological model to benchmark reverse-engineering approaches. We show that the performances of the proposed framework on this benchmark network are encouraging.
Original languageUnknown
Title of host publicationEvoBio
EditorsPizzuti E C.
Place of PublicationBerlin
ISBN (Print)978-3-642-20388-6
Publication statusPublished - 1 Jan 2011

Publication series

NameLecture Notes in Computer Science

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