Evaluation of Twenty Genes in Prognosis of Patients with Ovarian Cancer Using Four Different Clustering Methods

BACKGROUND: Comparison of gene expression algorithms may be beneficial for obtaining disease pattern or grouping patients based on the gene expression profile. The current study aimed to investigate whether the knowledge within these data is able to group the ovarian cancer patients with similar dis...

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Detalles Bibliográficos
Autores principales: Pourahmad, Saeedeh, Foroozani, Somayeh, Nourelahi, Mehdi, Hosseini, Ahmad, Razmkhah, Mahboobeh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: West Asia Organization for Cancer Prevention 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8418829/
https://www.ncbi.nlm.nih.gov/pubmed/34181334
http://dx.doi.org/10.31557/APJCP.2021.22.6.1781

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8418829/
https://www.ncbi.nlm.nih.gov/pubmed/34181334
http://dx.doi.org/10.31557/APJCP.2021.22.6.1781

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