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This is the classical machine-learning problem of
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feature selection.
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Rank the genes according to their separation between
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classes.
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Consider a series of classifiers incorporating the first
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p genes on the list, p = 1,2,…
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Estimate the performance of the k-feature classifier
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with leave-out-one analysis.
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Pick the best performing p.
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