https://www.selleckchem.com/pr....oducts/Gefitinib.htm
Through extensive simulations on the artificial and the real gene expression datasets, CGA-BNI showed better performance than four other existing methods in terms of both structural and dynamics prediction accuracies. Taken together, CGA-BNI is a promising tool to predict both the structure and the dynamics of a gene regulatory network when a highest accuracy is needed at the cost of sacrificing the execution time. Source code and data are freely available at https//github.com/csclab/CGA-BNI. Supplementary data are available at Bioinf
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