AUTHOR=Dougherty Edward , Qian Xiaoning TITLE=Validation of gene regulatory network inference based on controllability JOURNAL=Frontiers in Genetics VOLUME=4 YEAR=2013 URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2013.00272 DOI=10.3389/fgene.2013.00272 ISSN=1664-8021 ABSTRACT=
There are two distinct issues regarding network validation: (1) Does an inferred network provide good predictions relative to experimental data? (2) Does a network inference algorithm applied within a certain network model framework yield networks that are accurate relative to some criterion of goodness? The first issue concerns scientific validation and the second concerns algorithm validation. In this paper we consider inferential validation relative to controllability; that is, if an inference procedure is applied to data generated from a gene regulatory network and an intervention procedure is designed on the inferred network, how well does it perform on the true network? The reasoning behind such a criterion is that, if our purpose is to use gene regulatory networks to design therapeutic intervention strategies, then we are not concerned with network fidelity,