Filtering of the Gene Signature as the Predictors of Cisplatin-Resistance in Ovarian Cancer

BACKGROUND: Gene expression profiling and prediction of drug responses based on the molecular signature indicate new molecular biomarkers which help to find the most effective drugs according to the tumor characteristics. OBJECTIVES: In this study two independent datasets, GSE28646 and GSE15372 were...

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Detalles Bibliográficos
Autores principales: Ataei, Atousa, Arab, Seyed Shahriar, Zahiri, Javad, Rajabpour, Azam, Kletenkov, Konstantin, Rizvanov, Albert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Institute of Genetic Engineering and Biotechnology 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590720/
https://www.ncbi.nlm.nih.gov/pubmed/34825010
http://dx.doi.org/10.30498/ijb.2021.209370.2643

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590720/
https://www.ncbi.nlm.nih.gov/pubmed/34825010
http://dx.doi.org/10.30498/ijb.2021.209370.2643

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