Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Background#R##N# describe the E-RFE method for gene ranking, which is useful for the identification of markers in the predictive classification of array data. The method supports a practical modeling scheme designed to avoid the construction of classification rules based on the selection of too small gene subsets (an effect known as the selection bias, in which the estimated predictive errors are too optimistic due to testing on samples already considered in the feature selection process).
['Cesare Furlanello', 'Maria Serafini', 'Stefano Merler', 'Giuseppe Jurman']
I am writing a research paper on a idea Entropy-based gene ranking without selection bias for the predictive classification of microarray data.
[{"from": "human", "value": "I am writing a research paper on a idea Entropy-based gene ranking without selection bias for the predictive classification of microarray data."}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Background#R##N# describe the E-RFE method for gene ranking, which is useful for the identification of markers in the predictive classification of array data. The method supports a practical modeling scheme designed to avoid the construction of classification rules based on the selection of too small gene subsets (an effect known as the selection bias, in which the estimated predictive errors are too optimistic due to testing on samples already considered in the feature selection process)."}]