Study on the Use of Evolutionary Techniques for Inference in Gene Regulatory Networks
Inference in Gene Regulatory Networks remains an important problem in Molecular Biology. Many models have been proposed to model the relationships within genes in a DNA chain. Many of these models use Evolutionary Techniques to find the best parameters of specific DNA motifs.
In this work, we compare the popular S-System using a powerful evolutionary technique, DPSO, and the novel Recursive Neural Network model, using clustered (PBIL). We will use the SOS network for E.coli to do the comparison to finally show how they fare against other techniques in the area of (GRN) inference.
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