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Fig. 1 | BMC Bioinformatics

Fig. 1

From: Ensemble feature selection with data-driven thresholding for Alzheimer's disease biomarker discovery

Fig. 1

A homogeneous feature selection ensemble. Sample1, Sample 2 … Sample n are randomly sampled subsets of the training data. The same feature selector is applied separately to each sample, generating n sets of selected features. An aggregator is applied to combine these feature sets into a single set, a threshold is applied and the resulting feature set is used as input to a survival model to assess its accuracy

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