Merging Microarray Data, Robust Feature Selection, and Predicting Prognosis in Prostate Cancer
Motivation Individual microarray studies searching for prognostic biomarkers often have few samples and low statistical power; however, publicly accessible data sets make it possible to combine data across studies. Method We present a novel approach for combining microarray data across institutions...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2006-01-01
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| Series: | Cancer Informatics |
| Online Access: | https://doi.org/10.1177/117693510600200009 |