Article

Avoiding test set bias with rank-based prediction

2014-06-06

Abstract excerpt

<h4>Background</h4> 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 change depending on which other patient samples they are normalized with. This test set bias will occur when any cross-samp...

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Literature Corpus work: 13713019-70a6-5823-943c-19d6d8700bc8
DOI: 10.1101/005983

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