%0 Journal Article
%T A proof of the DBRF-MEGN method, an algorithm for deducing minimum equivalent gene networks
%A Koji Kyoda
%A Kotaro Baba
%A Hiroaki Kitano
%A Shuichi Onami
%J Source Code for Biology and Medicine
%D 2011
%I BioMed Central
%R 10.1186/1751-0473-6-12
%X We describe in detail the algorithm of the DBRF-MEGN method and prove that the algorithm deduces all of the exact solutions of the most parsimonious SDGs consistent with expression profiles of gene deletion mutants.The DBRF-MEGN method provides all of the exact solutions of the most parsimonious SDGs consistent with expression profiles of gene deletion mutants.Identification of gene regulatory networks (hereafter called gene networks) is essential for understanding cellular functions. Large-scale gene deletion projects [1-4] and DNA microarrays [5,6] have enabled the creation of large-scale gene expression profiles of gene deletion mutants [7,8]; these large-scale profiles comprise the expression levels of thousands of genes measured in deletion mutants of those genes. Such profiles are invaluable sources for identifying gene networks. Many procedures have been developed for inferring gene networks from such profiles [9-18].Kyoda et al. developed the DBRF-MEGN (difference-based regulation finding-minimum equivalent gene network) method, an algorithm for inferring gene networks from large-scale gene expression profiles of gene deletion mutants [14]. In this algorithm, gene networks are modeled as signed directed graphs (SDGs) in which a regulation between two genes is represented as a signed directed edge whose sign - positive or negative - represents whether the effect of the regulation is activation or inhibition and whose direction represents which gene regulates which other gene; the most parsimonious SDGs consistent with the expression profiles are thus deduced. Kyoda et al. showed that the method is applicable to large-scale gene expression profiles of gene deletion mutants and that networks deduced by the method are valid and useful for predicting functions of genes [14]. However, details of the method's algorithm and a proof of the algorithm have not previously been published.Here we describe in detail the algorithm of the DBRF-MEGN method and prove that the
%K DBRF-MEGN method
%K proof
%K algorithm
%K gene network
%K expression profiles
%U http://www.scfbm.org/content/6/1/12