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Avoiding test set bias with rank-based prediction

bioRxiv

Jun 6, 2014

Prasad PatilJeffrey T. Leek

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Abstract

Background: Prior to applying genomic predictors to clinical samples, the genomic data must be properly normalized. The most effective normalization methods depend on the data from multiple patients. From a biomedical perspective this implies that predictions for a single patient may ch...read more

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  • Avoiding test set bias with rank-based prediction

    bioRxiv

    Jun 6, 2014

    Prasad PatilJeffrey T. Leek

    PMID: 990005983

    DOI: 10.1101/005983

    Abstract

    Background: Prior to applying genomic predictors to clinical samples, the genomic data must be properly normalized. The most effective normalization methods depend on the data from multiple patients. From a biomedical perspective this implies that predictions for a single patient may ch...read more

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