基于蚁群算法的基因路径预测

Prediction of Gene Pathway Based on Ant Colony Optimization

随着基因测序速度的快速增长,人们开始着手于研究具体生物过程的基因路径,但生物实验的限制性使之进展缓慢.文中提出了基于蚁群算法(Ant colony optimization ACO)的基因路径预测技术,以wnt信号通路为例,使用对应的基因集合内部的联系设置算法参数,对其进行基因路径预测.实验结果显示,使用该方案预测的路径具有很大的可参考性,能够为基因路径绘制实验指引研究方向,提高研究的速度.

With the rapid growth of gene sequencing, people began to study gene pathway of specific biological processes, but biological experiments restrictive make it slowly. In this paper, it proposed a gene pathway prediction technical which based on ant colony optimization, used the corresponding gene in wnt signal pathway as data and its internal relations set algorithm parameters to predict gene pathway. The results show that this program has a great reference value, it can guide the path of research and increase the speed of research.