Characterization and noninvasive diagnosis of bladder cancer with serum surface enhanced Raman spectroscopy and genetic algorithms

This study aims to characterize and classify serum surface-enhanced Raman spectroscopy (SERS) spectra between bladder cancer patients and normal volunteers by genetic algorithms (GAs) combined with linear discriminate analysis (LDA). Two group serum SERS spectra excited with nanoparticles are collec...

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Detalles Bibliográficos
Autores principales: Li, Shaoxin, Li, Linfang, Zeng, Qiuyao, Zhang, Yanjiao, Guo, Zhouyi, Liu, Zhiming, Jin, Mei, Su, Chengkang, Lin, Lin, Xu, Junfa, Liu, Songhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4423238/
https://www.ncbi.nlm.nih.gov/pubmed/25947114
http://dx.doi.org/10.1038/srep09582

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4423238/
https://www.ncbi.nlm.nih.gov/pubmed/25947114
http://dx.doi.org/10.1038/srep09582

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