[HTML][HTML] Interpretation of microarray data in cancer
S Michiels, S Koscielny, C Hill - British journal of cancer, 2007 - nature.com
S Michiels, S Koscielny, C Hill
British journal of cancer, 2007•nature.comMicroarray studies aim at identifying homogeneous subtypes of cancer patients, searching
for differentially expressed genes in tumours with different characteristics, or predicting the
prognosis of patients. Using breast cancer as an example, we discuss the hypotheses
underlying these studies, their power, and the validity and the clinical usefulness of the
findings.
for differentially expressed genes in tumours with different characteristics, or predicting the
prognosis of patients. Using breast cancer as an example, we discuss the hypotheses
underlying these studies, their power, and the validity and the clinical usefulness of the
findings.
Abstract
Microarray studies aim at identifying homogeneous subtypes of cancer patients, searching for differentially expressed genes in tumours with different characteristics, or predicting the prognosis of patients. Using breast cancer as an example, we discuss the hypotheses underlying these studies, their power, and the validity and the clinical usefulness of the findings.
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