Large-scale statistical inference of gene regulatory networks: Local network-based measures

    Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review


    In this chapter we discuss various local network-based measures in order to assess the performance of inference algorithms for estimating regulatory networks. These statistical measures represent domain specific knowledge and are for this reason better adapted to problems that are directly involving networks compared to other measures frequently used in this context like the F-score. We are discussing three such measures with special focus on the inference of regulatory networks from expression data. However, due to the fact that currently there is a vast interest in network-based approaches in systems biology the presented measures may be also of interest for the analysis of a different type of large-scale genomics data.

    Original languageEnglish
    Title of host publicationIntelligent Systems Reference Library
    Number of pages15
    Publication statusPublished - 2011
    Publication typeA3 Book chapter

    Publication series

    NameIntelligent Systems Reference Library
    ISSN (Print)18684394
    ISSN (Electronic)18684408

    ASJC Scopus subject areas

    • Computer Science(all)
    • Information Systems and Management
    • Library and Information Sciences


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