Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Motivation: Recent advances in DNA microarray technologies have made it possible to measure the expression levels of thousands of genes simultaneously under different conditions. The data obtained by microarray analyses are called expression profile data. One type of important information underlying the expression profile data is the ‘genetic network,’ that is, the regulatory network among genes. Graphical Gaussian Modeling (GGM) is a widely utilized method to infer or test relationships among a plural of variables. Results: In this study,  developed a method combining the cluster analysis with GGM for the inference of the genetic network from the expression profile data. The expression profile data of 2467 Saccharomyces cerevisiae genes measured under 79 different conditions (Eisen et al., Proc. Natl Acad. Sci. USA, 95, 14 683‐14 868, 1998) re used for this study. At first, the 2467 genes re classified into 34 clusters by a cluster analysis, as a preprocessing for GGM. Then, the expression levels of the genes in each cluster re averaged for each condition. The averaged expression profile data of 34 clusters re subjected to GGM, and a partial correlation coefficient matrix was obtained as a model of the genetic network of S. cerevisiae. The accuracy of the inferred network was examined by the agreement of our results with the cumulative results of experimental studies. Availability: A set of programs will be electronically sent upon request.
['Hiroyuki Toh', 'Katsuhisa Horimoto']
I am writing a research paper on a idea Inference of a genetic network by a combined approach of cluster analysis and graphical Gaussian modeling.
[{"from": "human", "value": "I am writing a research paper on a idea Inference of a genetic network by a combined approach of cluster analysis and graphical Gaussian modeling."}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Motivation: Recent advances in DNA microarray technologies have made it possible to measure the expression levels of thousands of genes simultaneously under different conditions. The data obtained by microarray analyses are called expression profile data. One type of important information underlying the expression profile data is the \u2018genetic network,\u2019 that is, the regulatory network among genes. Graphical Gaussian Modeling (GGM) is a widely utilized method to infer or test relationships among a plural of variables. Results: In this study,  developed a method combining the cluster analysis with GGM for the inference of the genetic network from the expression profile data. The expression profile data of 2467 Saccharomyces cerevisiae genes measured under 79 different conditions (Eisen et al., Proc. Natl Acad. Sci. USA, 95, 14 683\u201014 868, 1998) re used for this study. At first, the 2467 genes re classified into 34 clusters by a cluster analysis, as a preprocessing for GGM. Then, the expression levels of the genes in each cluster re averaged for each condition. The averaged expression profile data of 34 clusters re subjected to GGM, and a partial correlation coefficient matrix was obtained as a model of the genetic network of S. cerevisiae. The accuracy of the inferred network was examined by the agreement of our results with the cumulative results of experimental studies. Availability: A set of programs will be electronically sent upon request."}]