How to infer gene networks from expression profiles

Mukesh Bansal, Vincenzo Belcastro, Alberto Ambesi-Impiombato, Diego di Bernardo
2007 Molecular Systems Biology  
Inferring, or 'reverse-engineering', gene networks can be defined as the process of identifying gene interactions from experimental data through computational analysis. Gene expression data from microarrays are typically used for this purpose. Here we compared different reverseengineering algorithms for which ready-to-use software was available and that had been tested on experimental data sets. We show that reverse-engineering algorithms are indeed able to correctly infer regulatory
more » ... s among genes, at least when one performs perturbation experiments complying with the algorithm requirements. These algorithms are superior to classic clustering algorithms for the purpose of finding regulatory interactions among genes, and, although further improvements are needed, have reached a discreet performance for being practically useful.
doi:10.1038/msb4100120 pmid:17299415 pmcid:PMC1828749 fatcat:p4suf5g3t5eilevewhkiikimhq