Building an ensemble learning model for gastric cancer cell line classification via rapid raman spectroscopy

Cell misuse and cross-contamination can affect the accuracy of cell research results and result in wasted time, manpower and material resources. Thus, cell line identification is important and necessary. At present, the commonly used cell line identification methods need cell staining and culturing....

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Detalles Bibliográficos
Autores principales: Liu, Kunxiang, Liu, Bo, Zhang, Yuhong, Wu, Qinian, Zhong, Ming, Shang, Lindong, Wang, Yu, Liang, Peng, Wang, Weiguo, Zhao, Qi, Li, Bei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842960/
https://www.ncbi.nlm.nih.gov/pubmed/36698976
http://dx.doi.org/10.1016/j.csbj.2022.12.050

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842960/
https://www.ncbi.nlm.nih.gov/pubmed/36698976
http://dx.doi.org/10.1016/j.csbj.2022.12.050

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