AUTHOR=Emmert-Streib Frank , Glazko Galina , G¨okmen Altay , De Matos Simoes Ricardo TITLE=Statistical Inference and Reverse Engineering of Gene Regulatory Networks from Observational Expression Data JOURNAL=Frontiers in Genetics VOLUME=3 YEAR=2012 URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2012.00008 DOI=10.3389/fgene.2012.00008 ISSN=1664-8021 ABSTRACT=

In this paper, we present a systematic and conceptual overview of methods for inferring gene regulatory networks from observational gene expression data. Further, we discuss two classic approaches to infer causal structures and compare them with contemporary methods by providing a conceptual categorization thereof. We complement the above by surveying global and local evaluation measures for assessing the performance of inference algorithms.