The removal of multiplicative, systematic bias allows integration of breast cancer gene expression datasets – improving meta-analysis and prediction of prognosis
<p>Abstract</p> <p>Background</p> <p>The number of gene expression studies in the public domain is rapidly increasing, representing a highly valuable resource. However, dataset-specific bias precludes meta-analysis at the raw transcript level, even when the RNA is from...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2008-09-01
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Series: | BMC Medical Genomics |
Online Access: | http://www.biomedcentral.com/1755-8794/1/42 |