Electronic Resource
Berkeley, Calif.
:
Berkeley Electronic Press (now: De Gruyter)
Statistical applications in genetics and molecular biology
1.2002, 1, art1
ISSN:
1544-6115
Source:
Berkeley Electronic Press Academic Journals
Topics:
Biology
Notes:
In microarray studies, an important problem is to compare a predictor of disease outcome derived from gene expression levels to standard clinical predictors. Comparing them on the same dataset that was used to derive the microarray predictor can lead to results strongly biased in favor of the microarray predictor. We propose a new technique called ``pre-validation'' for making a fairer comparison between the two sets of predictors. We study the method analytically and explore its application in a recent study on breast cancer.
Type of Medium:
Electronic Resource
URL:
http://www.bepress.com/sagmb/vol1/iss1/art1
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