Dergi makalesi Açık Erişim
Gur-Dedeoglu, Bala; Konu, Ozlen; Kir, Serkan; Ozturk, Ahmet Rasit; Bozkurt, Betul; Ergul, Gulusan; Yulug, Isik G.
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.
Dosya adı | Boyutu | |
---|---|---|
bib-dfe3960d-8ead-4ebf-8373-43b0fd9539b2.txt
md5:1f5041d5b42f8a6f51933f8d4c32714e |
209 Bytes | İndir |
Görüntülenme | 27 |
İndirme | 5 |
Veri hacmi | 1.0 kB |
Tekil görüntülenme | 25 |
Tekil indirme | 5 |