Untargeted Metabolomic Characterization of Ovarian Tumors

SIMPLE SUMMARY: This study utilized untargeted metabolomic techniques to detect urine and plasma metabolites. Using support vector machine algorithm, three models for ovarian tumors diagnosis, benign-malignant distinguishing, early diagnosis and borderline-malignant distinguishing were developed. Th...

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Detalles Bibliográficos
Autores principales: Liu, Xiaona, Liu, Gang, Chen, Lihua, Liu, Fei, Zhang, Xiaozhe, Liu, Dan, Liu, Xinxin, Cheng, Xi, Liu, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7761955/
https://www.ncbi.nlm.nih.gov/pubmed/33291756
http://dx.doi.org/10.3390/cancers12123642

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7761955/
https://www.ncbi.nlm.nih.gov/pubmed/33291756
http://dx.doi.org/10.3390/cancers12123642

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