Microarray

Gene regulatory network identification from the yeast cell cycle based on a neuro-fuzzy system

B. H. Wang, Lim, J. W., Lim, J. S., Wang, B. H., Lim, J. W., and Lim, J. S., Gene regulatory network identification from the yeast cell cycle based on a neuro-fuzzy system, vol. 15, p. -, 2016.

Many studies exist for reconstructing gene regulatory networks (GRNs). In this paper, we propose a method based on an advanced neuro-fuzzy system, for gene regulatory network reconstruction from microarray time-series data. This approach uses a neural network with a weighted fuzzy function to model the relationships between genes. Fuzzy rules, which determine the regulators of genes, are very simplified through this method.

Subscribe to Microarray