Statistical Inference and Reverse Engineering of Gene Regulatory Networks from Observational Expression Data

@inproceedings{EmmertStreib2012StatisticalIA,
  title={Statistical Inference and Reverse Engineering of Gene Regulatory Networks from Observational Expression Data},
  author={Frank Emmert-Streib and Galina V. Glazko and G{\"o}kmen Altay and Ricardo de Matos Simoes},
  booktitle={Front. Gene.},
  year={2012}
}
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. 
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