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New Guidelines for Microarray Data Analysis and Reporting
DNA microarray technology, which allows the expression of thousands of genes in a small biologic sample to be readily quantified, has recently found many applications in cancer research. However, questions have been raised about the validity of studies that analyze microarray data to better understand biologic mechanisms or to develop tools that predict clinical outcomes. Focusing on studies in which gene expression profiles were related to a clinical cancer outcome, Dupuy and Simon (p. 147) recorded common errors in recently published statistical analyses of microarray data. They then developed guidelines
Intensified Chemotherapy in Osteosarcoma Patients
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Dietary Antioxidant Supplements and the Risk of Gastric Cancer
Allergies, Cancer, and the Risk of Non-Hodgkin Lymphoma
Ki67 Expression in Tumors After Short-Term Endocrine Therapy
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J Natl Cancer Inst 2007 99: 101-103.
J Natl Cancer Inst 2007 99: 112-128.
J Natl Cancer Inst 2007 99: 129-136.
J Natl Cancer Inst 2007 99: 137-146.
J Natl Cancer Inst 2007 99: 147-157.
J Natl Cancer Inst 2007 99: 158-166.
J Natl Cancer Inst 2007 99: 167-170.
J Natl Cancer Inst 2007 99: 171-175.
J Natl Cancer Inst 2007 99: 98-99.
J Natl Cancer Inst 2007 99: 99-100.