Applying Genetic Algorithms To Finding The Optimal Gene Order In Displaying The Microarray Data
Huai‐Kuang Tsai, Jinn‐Moon Yang, Cheng‐Yan Kao · 2002
In this paper the Family Competition Genetic Algorithm (FCGA) is applied to analyze DNA-microarray data. DNA Microarray technology is a significant impact on genomics study. The proposed approach consists of global and local strategies by integrating the family competition, edge assembly crossover, and neighbor-join mutation. Experiments are performed to compare the FCGA with several methods in some real-world biological data sets. Numerical results indicate that FCGA performs very robustly and is very competitive with other approaches. Using FCGA, we are able to find a gene order to display the microarray data in a meaningful way.