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Supplementary Material: Comparative Evaluation of Reverse Engineering Gene Regulatory Networks with Relevance Networks, Graphical Gaussian Models and Bayesian Networks

By Adriano V. Werhli, Marco Grzegorczyk and Dirk Husmeier


This supplementary material is divided as follows: Section 1 has a description about how to simulate Genetic Regulatory Networks and Section 2 explains how to perform these simulations using Netbuilder. Section 3 presents details about the Graphical Gaussian Models and Section 4 presents details about Bayesian Networks. In Section 5 we discuss how the data was pre-processed for our analysis. Section 6 presents the v-structure network, which was used to create simulated data to give some idea of how the network topology influences the different inference methods. In Section 7 we present an overview of all the results. Sections 8 and 9 present tables for comparing the performance between methods. These sections present comparisons for AUC scores and TP scores respectively. Sections 10 and 11 present tables for comparing the performanc

Year: 2010
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