期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2012
卷号：12
期号：9
页码：32-38
出版社：International Journal of Computer Science and Network Security
摘要：In this paper, we compared the score functions for edge orientation problem in estimation of genetic network from DNA microarray data. We focused four score functions, Bayesian Information Criterion(BIC), Bayesian-Dirichlet Metric(BDM), K2 Metric and PageRank Orientation Metric(PROM). To compare and evaluate the performance of each score function in various situations, we generated genetic networks changes of gene expression level, artificially. To generate such artificial networks, we used subsampling technique from large-scale real transcriptional regulatory network. To determine the set of genes that observed their expression level changed, we considered not only the structures of generated networks, but also the certain type of gene regulation that it makes difficult to detect the change of expression levels in knock-out or knock-down DNA microarray experiments.
