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A resampling-based meta-analysis for detection of differential gene expression in breast cancer

Gur-Dedeoglu, Bala; Konu, Ozlen; Kir, Serkan; Ozturk, Ahmet Rasit; Bozkurt, Betul; Ergul, Gulusan; Yulug, Isik G.


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        "affiliation": "Bilkent Univ, Fac Sci, Dept Mol Biol & Genet, TR-06800 Ankara, Turkey", 
        "name": "Gur-Dedeoglu, Bala"
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      {
        "affiliation": "Bilkent Univ, Fac Sci, Dept Mol Biol & Genet, TR-06800 Ankara, Turkey", 
        "name": "Konu, Ozlen"
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      {
        "affiliation": "Bilkent Univ, Fac Sci, Dept Mol Biol & Genet, TR-06800 Ankara, Turkey", 
        "name": "Kir, Serkan"
      }, 
      {
        "affiliation": "Bilkent Univ, Fac Sci, Dept Mol Biol & Genet, TR-06800 Ankara, Turkey", 
        "name": "Ozturk, Ahmet Rasit"
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      {
        "affiliation": "Ankara Numune Res & Teaching Hosp, Dept Gen Surg, TR-06100 Ankara, Turkey", 
        "name": "Bozkurt, Betul"
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        "affiliation": "Ankara Numune Res & Teaching Hosp, Dept Pathol, TR-06100 Ankara, Turkey", 
        "name": "Ergul, Gulusan"
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      {
        "affiliation": "Bilkent Univ, Fac Sci, Dept Mol Biol & Genet, TR-06800 Ankara, Turkey", 
        "name": "Yulug, Isik G."
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    "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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