Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Background: The aim of this study was to develop an original method to extract sets of relevant molecular biomarkers (gene sequences) that can be used for class prediction and can be included as prognostic and predictive tools. Materials and methods: The method is based on sequential patterns used as features for class prediction.  applied it to classify breast cancer tumors according to their histological grade. Results:  obtained very good recall and precision for grades 1 and 3 tumors, but, like other authors, our results re less satisfactory for grade 2 tumors. Conclusions:  demonstrated the interest of sequential patterns for class prediction of microarrays and  now have the material to use them for prognostic and predictive applications.
['Mickaël Fabrègue', 'Sandra Bringay', 'Pascal Poncelet', 'Maguelonne Teisseire', 'Béatrice Orsetti']
I am writing a research paper on a idea Mining microarray data to predict the histological grade of a breast cancer
[{"from": "human", "value": "I am writing a research paper on a idea Mining microarray data to predict the histological grade of a breast cancer"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Background: The aim of this study was to develop an original method to extract sets of relevant molecular biomarkers (gene sequences) that can be used for class prediction and can be included as prognostic and predictive tools. Materials and methods: The method is based on sequential patterns used as features for class prediction.  applied it to classify breast cancer tumors according to their histological grade. Results:  obtained very good recall and precision for grades 1 and 3 tumors, but, like other authors, our results re less satisfactory for grade 2 tumors. Conclusions:  demonstrated the interest of sequential patterns for class prediction of microarrays and  now have the material to use them for prognostic and predictive applications."}]