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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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| Publicado no: | Cancers (Basel) |
|---|---|
| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7761955/ https://ncbi.nlm.nih.gov/pubmed/33291756 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/cancers12123642 |
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