Abstract:The inference of regulators is the core factor in interpreting the actual regulatory conditions in gene regulatory networks (GRNs). Various methods have been developed to reconstruct GRNs with the motivation of improving the accuracy and scalability of network inference. Thus, this study will brief the structure of GRNs, discuss current methods of GRNs reconstruction and problems when dealing with gene perturbation data. Most of the information gathered from bioinformatics and system biology literature. At the… Show more
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