1 Ocak 2008 Dergi makalesi Açık Erişim

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

Dublin Core

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  <dc:creator>Gur-Dedeoglu, Bala</dc:creator>
  <dc:creator>Konu, Ozlen</dc:creator>
  <dc:creator>Kir, Serkan</dc:creator>
  <dc:creator>Ozturk, Ahmet Rasit</dc:creator>
  <dc:creator>Bozkurt, Betul</dc:creator>
  <dc:creator>Ergul, Gulusan</dc:creator>
  <dc:creator>Yulug, Isik G.</dc:creator>
  <dc:date>2008-01-01</dc:date>
  <dc: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.</dc:description>
  <dc:identifier>https://aperta.ulakbim.gov.trrecord/41529</dc:identifier>
  <dc:identifier>oai:zenodo.org:41529</dc:identifier>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://www.opendefinition.org/licenses/cc-by</dc:rights>
  <dc:source>BMC CANCER 8</dc:source>
  <dc:title>A resampling-based meta-analysis for detection of differential gene expression in breast cancer</dc:title>
  <dc:type>info:eu-repo/semantics/article</dc:type>
  <dc:type>publication-article</dc:type>
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