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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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{
  "@context": "https://schema.org/", 
  "@id": 41529, 
  "@type": "ScholarlyArticle", 
  "creator": [
    {
      "@type": "Person", 
      "affiliation": "Bilkent Univ, Fac Sci, Dept Mol Biol & Genet, TR-06800 Ankara, Turkey", 
      "name": "Gur-Dedeoglu, Bala"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Bilkent Univ, Fac Sci, Dept Mol Biol & Genet, TR-06800 Ankara, Turkey", 
      "name": "Konu, Ozlen"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Bilkent Univ, Fac Sci, Dept Mol Biol & Genet, TR-06800 Ankara, Turkey", 
      "name": "Kir, Serkan"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Bilkent Univ, Fac Sci, Dept Mol Biol & Genet, TR-06800 Ankara, Turkey", 
      "name": "Ozturk, Ahmet Rasit"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Ankara Numune Res & Teaching Hosp, Dept Gen Surg, TR-06100 Ankara, Turkey", 
      "name": "Bozkurt, Betul"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Ankara Numune Res & Teaching Hosp, Dept Pathol, TR-06100 Ankara, Turkey", 
      "name": "Ergul, Gulusan"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Bilkent Univ, Fac Sci, Dept Mol Biol & Genet, TR-06800 Ankara, Turkey", 
      "name": "Yulug, Isik G."
    }
  ], 
  "datePublished": "2008-01-01", 
  "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.", 
  "headline": "A resampling-based meta-analysis for detection of differential gene expression in breast cancer", 
  "identifier": 41529, 
  "image": "https://aperta.ulakbim.gov.tr/static/img/logo/aperta_logo_with_icon.svg", 
  "license": "http://www.opendefinition.org/licenses/cc-by", 
  "name": "A resampling-based meta-analysis for detection of differential gene expression in breast cancer", 
  "url": "https://aperta.ulakbim.gov.tr/record/41529"
}
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