换一批摘要Constructing biological networks is one of the most important issues in system sbiology. However, constructing a network from data manually takes a considerable large amount of time, therefore an automated procedure is advocated. To automate the procedure of network construction, in this work we use two intelligent computing techniques, genetic programming and neural computation, to infer two kinds of network models that use continuous variables. To verify the presented approaches, experiments have been conducted and the preliminary results show that both approaches can be used to infer networks successfully.
更多相关知识
- 浏览76
- 被引1
- 下载0
相似文献
- 中文期刊
- 外文期刊
- 学位论文
- 会议论文
