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2011 | OriginalPaper | Chapter

22. Reverse Engineering of Gene Regulation Networks with an Application to the DREAM4 in silico Network Challenge

Authors : Hyonho Chun, Jia Kang, Xianghua Zhang, Minghua Deng, Haisu Ma, Hongyu Zhao

Published in: Handbook of Statistical Bioinformatics

Publisher: Springer Berlin Heidelberg

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Abstract

Despite much research, reverse engineering of gene regulation remains a challenging task due to a large number of genes involved and complex relationships among them. In this chapter, we review statistical methods for inferring gene regulation networks, specifically focusing on the methods for analyzing gene expression data. We then present a new reverse engineering method in order to efficiently utilize datasets from various perturbation experiments as well as to integrate these multiple sources of information. We apply our approach to the DREAM in silico network challenge to demonstrate its performance.

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Title: Reverse Engineering of Gene Regulation Networks with an Application to the DREAM4 in silico Network Challenge
Authors: Hyonho Chun
Jia Kang
Xianghua Zhang
Minghua Deng
Haisu Ma
Hongyu Zhao
Publisher: Springer Berlin Heidelberg
Book: Handbook of Statistical Bioinformatics
Print ISBN: 978-3-642-16344-9

Electronic ISBN: 978-3-642-16345-6

Copyright Year: 2011
DOI: https://doi.org/10.1007/978-3-642-16345-6_22

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