Modeling of Gene Regulatory Networks: A Literature Review

As the diversity of reverse engineering methods, we will cover four sophisticated promising modeling approaches. The aim of this paper is to obtain a better understanding of approached strengths and weaknesses on the systems biology community. The rest of the paper is organized as following first we describe models selection criteria which were studied in this paper, Second we cover the description of each model specifications, Third we identified the data source, its requirements and data discretization, fourth we summarized some of GRN construction challenges, fifth we described in brief each modeling schema, sixth we define how the importance of synthetic networks to assess the performance of GRN models then we describe DREAM project where researches meet and discuss their reverse engineering approach, and finally we open some questions to discussion. Introduction