Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Bayesian networks and cluster analysis are widely applied to network construction, data mining and causal discovery in bioinformation and medical researches. A Bayesian network is used to describe associations among a large number of variables, such as a gene network and a network describing relationships among symptoms. Cluster analysis is used to cluster associated variables, For example, genes with similar expressions or associated symptoms are grouped into a cluster. ,  combine these approaches of network construction and cluster analysis together. On the one hand,  use Bayesian networks to explain relationships among variables in each cluster; on the other hand  use hierarchical cluster approach to assist network construction, and  propose a structure learning approach. In the stepwise approach, a subnetwork over a larger cluster is constructed by combining several subnetworks over small clusters whenever these small clusters are grouped together. The proposed approach is applied to a traditional Chinese medical study on a kidney disease.
['Mingfeng Wang', 'Zhi Geng', 'Miqu Wang', 'Feng Chen', 'Weijun Ding', 'Ming Liu']
I am writing a research paper on a idea Combination of network construction and cluster analysis and its application to traditional chinese medicine
[{"from": "human", "value": "I am writing a research paper on a idea Combination of network construction and cluster analysis and its application to traditional chinese medicine"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Bayesian networks and cluster analysis are widely applied to network construction, data mining and causal discovery in bioinformation and medical researches. A Bayesian network is used to describe associations among a large number of variables, such as a gene network and a network describing relationships among symptoms. Cluster analysis is used to cluster associated variables, For example, genes with similar expressions or associated symptoms are grouped into a cluster. ,  combine these approaches of network construction and cluster analysis together. On the one hand,  use Bayesian networks to explain relationships among variables in each cluster; on the other hand  use hierarchical cluster approach to assist network construction, and  propose a structure learning approach. In the stepwise approach, a subnetwork over a larger cluster is constructed by combining several subnetworks over small clusters whenever these small clusters are grouped together. The proposed approach is applied to a traditional Chinese medical study on a kidney disease."}]