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Evaluation of Twenty Genes in Prognosis of Patients with Ovarian Cancer Using Four Different Clustering Methods.
Pourahmad, Saeedeh; Foroozani, Somayeh; Nourelahi, Mehdi; Hosseini, Ahmad; Razmkhah, Mahboobeh.
Affiliation
  • Pourahmad S; Bioinformatics and Computational Biology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Foroozani S; Department of Biostatistics, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Nourelahi M; Department of Biostatistics, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Hosseini A; Department of computer Science, University of Wyoming, Laramie, WY, USA.
  • Razmkhah M; Shiraz Institute for Cancer Research, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Asian Pac J Cancer Prev ; 22(6): 1781-1787, 2021 Jun 01.
Article in En | MEDLINE | ID: mdl-34181334
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ovarian Neoplasms / Gene Expression Profiling Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Female / Humans Language: En Journal: Asian Pac J Cancer Prev Journal subject: NEOPLASIAS Year: 2021 Document type: Article Affiliation country: Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ovarian Neoplasms / Gene Expression Profiling Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Female / Humans Language: En Journal: Asian Pac J Cancer Prev Journal subject: NEOPLASIAS Year: 2021 Document type: Article Affiliation country: Country of publication: