Sorry to bother those who are not interested. In the ipred package, there is .632plus estimator, but seems that this estimator does not have feature selection built in. If that is the case, I am wondering how this can be applied to microarray, since feature selection is a must for microarray. If feature selection is done on the entire dataset and perform .632plus later, there will be some bias with the leave-one-out bootstrap part. I think other estimators should be the same in the sense that it is done on the dataset without performing feature selection. Is what I understand correct or not? 

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