Establishment of a SVM classifier to predict recurrence of ovarian cancer

Gene expression data using retrieved ovarian cancer (OC) samples were used to identify genes of interest and a support vector machine (SVM) classifier was subsequently established to predict the recurrence of OC. Three datasets (GSE17260, GSE44104 and GSE51088) investigating OC gene expression were...

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Detalles Bibliográficos
Autores principales: Zhou, Jinting, Li, Lin, Wang, Liling, Li, Xiaofang, Xing, Hui, Cheng, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2018
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6131358/
https://www.ncbi.nlm.nih.gov/pubmed/30106117
http://dx.doi.org/10.3892/mmr.2018.9362

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6131358/
https://www.ncbi.nlm.nih.gov/pubmed/30106117
http://dx.doi.org/10.3892/mmr.2018.9362

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