Run Batch Effects Potentially Compromise the Usefulness of Genomic Signatures for Ovarian Cancer
Author:
Affiliation:
1. Department of Bioinformatics & Computational Biology, University of Texas M.D. Anderson Cancer Center, Houston, TX
2. Department of Statistics, Rice University, Houston, TX
Publisher
American Society of Clinical Oncology (ASCO)
Subject
Cancer Research,Oncology
Link
http://ascopubs.org/doi/pdfdirect/10.1200/JCO.2007.15.1951
Reference4 articles.
1. An Integrated Genomic-Based Approach to Individualized Treatment of Patients With Advanced-Stage Ovarian Cancer
2. Oncogenic pathway signatures in human cancers as a guide to targeted therapies
3. Patterns of Gene Expression That Characterize Long-term Survival in Advanced Stage Serous Ovarian Cancers
4. Bias as a threat to the validity of cancer molecular-marker research
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