Published January 1, 2008
| Version v1
Journal article
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A resampling-based meta-analysis for detection of differential gene expression in breast cancer
Creators
- 1. Bilkent Univ, Fac Sci, Dept Mol Biol & Genet, TR-06800 Ankara, Turkey
- 2. Ankara Numune Res & Teaching Hosp, Dept Gen Surg, TR-06100 Ankara, Turkey
- 3. Ankara Numune Res & Teaching Hosp, Dept Pathol, TR-06100 Ankara, Turkey
Description
Background: Accuracy in the diagnosis of breast cancer and classification of cancer subtypes has improved over the years with the development of well-established immunohistopathological criteria. More recently, diagnostic gene-sets at the mRNA expression level have been tested as better predictors of disease state. However, breast cancer is heterogeneous in nature; thus extraction of differentially expressed gene-sets that stably distinguish normal tissue from various pathologies poses challenges. Meta-analysis of high-throughput expression data using a collection of statistical methodologies leads to the identification of robust tumor gene expression signatures.
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