A Urine Metabonomics Study of Rat Bladder Cancer by Combining Gas Chromatography-Mass Spectrometry with Random Forest Algorithm

A urine metabolomics study based on gas chromatography-mass spectrometry (GC-MS) and multivariate statistical analysis was applied to distinguish rat bladder cancer. Urine samples with different stages were collected from animal models, i.e., the early stage, medium stage, and advanced stage of the...

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Detalles Bibliográficos
Autores principales: Fang, Mengchan, Liu, Fan, Huang, Lingling, Wu, Liqing, Guo, Lan, Wan, Yiqun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7525317/
https://www.ncbi.nlm.nih.gov/pubmed/33014064
http://dx.doi.org/10.1155/2020/8839215

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7525317/
https://www.ncbi.nlm.nih.gov/pubmed/33014064
http://dx.doi.org/10.1155/2020/8839215

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