Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  study information theoretic methods for ranking biomarkers. In clinical trials there are two, closely related, types of biomarkers: predictive and prognostic, and disentangling them is a key challenge. Our first step is to phrase biomarker ranking in terms of optimizing an information theoretic quantity. This formalization of the problem will enable us to derive rankings of predictive/prognostic biomarkers, by estimating different, high dimensional, conditional mutual information terms. To estimate these terms,  suggest efficient low dimensional approximations, and  derive an empirical Bayes estimator, which is suitable for small or sparse datasets. Finally,  introduce a new visualisation tool that captures the prognostic and the predictive strength of a set of biomarkers.  believe this representation will prove to be a porful tool in biomarker discovery.
['Konstantinos Sechidis', 'Emily Turner', 'P. Metcalfe', 'James Weatherall', 'G. Brown']
I am writing a research paper on a idea Ranking Biomarkers Through Mutual Information
[{"from": "human", "value": "I am writing a research paper on a idea Ranking Biomarkers Through Mutual Information"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  study information theoretic methods for ranking biomarkers. In clinical trials there are two, closely related, types of biomarkers: predictive and prognostic, and disentangling them is a key challenge. Our first step is to phrase biomarker ranking in terms of optimizing an information theoretic quantity. This formalization of the problem will enable us to derive rankings of predictive/prognostic biomarkers, by estimating different, high dimensional, conditional mutual information terms. To estimate these terms,  suggest efficient low dimensional approximations, and  derive an empirical Bayes estimator, which is suitable for small or sparse datasets. Finally,  introduce a new visualisation tool that captures the prognostic and the predictive strength of a set of biomarkers.  believe this representation will prove to be a porful tool in biomarker discovery."}]