Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Stemming from the need to score relations beten functional groups of genes and multiple clinical types associated with a tumour, this study proposes to use contingency-based measures to quantify such relations. It aims at reflecting a relative measure of association within a specific set of functional groups, and a specific set of clinical statuses. The proposed methodology is based on extracting features (scores) from expression sets that relate genes to multiple cancer subtypes (clinical statuses), and use those features (scores) to associate cancer subtypes with functional groups. It proposes combining t-test scores at several levels of cancer statuses’ differentiation to calculate such gene features. It also proposes using contingency based measures as Jaccard and F-measure to associate gene functional groups to multiple cancer subtypes/statuses. Variations from the original Jaccard measure are proposed to reflect scores of genes’ relations to classes/groups rather than using binary relations. The c...
['Noha A. Yousri', 'Dalal M. Elkaffash']
I am writing a research paper on a idea Associating functional groups to multiple clinical types using combined t-test scores and contingency-based measures: a study on breast cancer genes.
[{"from": "human", "value": "I am writing a research paper on a idea Associating functional groups to multiple clinical types using combined t-test scores and contingency-based measures: a study on breast cancer genes."}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Stemming from the need to score relations beten functional groups of genes and multiple clinical types associated with a tumour, this study proposes to use contingency-based measures to quantify such relations. It aims at reflecting a relative measure of association within a specific set of functional groups, and a specific set of clinical statuses. The proposed methodology is based on extracting features (scores) from expression sets that relate genes to multiple cancer subtypes (clinical statuses), and use those features (scores) to associate cancer subtypes with functional groups. It proposes combining t-test scores at several levels of cancer statuses\u2019 differentiation to calculate such gene features. It also proposes using contingency based measures as Jaccard and F-measure to associate gene functional groups to multiple cancer subtypes/statuses. Variations from the original Jaccard measure are proposed to reflect scores of genes\u2019 relations to classes/groups rather than using binary relations. The c..."}]