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Learning to predict relapse in invasive ductal carcinomas based on the subcellular localization of junctional proteins.
Asgarian, Nasimeh; Hu, Xiuying; Aktary, Zackie; Chapman, Kimberly Ann; Lam, Le; Chibbar, Rajni; Mackey, John; Greiner, Russ; Pasdar, Manijeh.
Affiliation
  • Asgarian N; Department of Computing Science, University of Alberta, 359 Athabasca Hall, Edmonton, AB T6G 2E8, Canada.
Breast Cancer Res Treat ; 121(2): 527-38, 2010 Jun.
Article in En | MEDLINE | ID: mdl-19787450
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Biomarkers, Tumor / Connexins / Carcinoma, Ductal, Breast / Neoplasm Recurrence, Local Type of study: Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Aged80 / Female / Humans / Middle aged Language: En Journal: Breast Cancer Res Treat Year: 2010 Document type: Article Affiliation country: Canada Country of publication: Netherlands
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Biomarkers, Tumor / Connexins / Carcinoma, Ductal, Breast / Neoplasm Recurrence, Local Type of study: Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Aged80 / Female / Humans / Middle aged Language: En Journal: Breast Cancer Res Treat Year: 2010 Document type: Article Affiliation country: Canada Country of publication: Netherlands