Integrated models of blood protein and metabolite enhance the diagnostic accuracy for Non-Small Cell Lung Cancer

BACKGROUND: For early screening and diagnosis of non-small cell lung cancer (NSCLC), a robust model based on plasma proteomics and metabolomics is required for accurate and accessible non-invasive detection. Here we aim to combine TMT-LC-MS/MS and machine-learning algorithms to establish models with...

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Detalles Bibliográficos
Autores principales: Xu, Runhao, Wang, Jiongran, Zhu, Qingqing, Zou, Chen, Wei, Zehao, Wang, Hao, Ding, Zian, Meng, Minjie, Wei, Huimin, Xia, Shijin, Wei, Dongqing, Deng, Li, Zhang, Shulin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10360339/
https://www.ncbi.nlm.nih.gov/pubmed/37475010
http://dx.doi.org/10.1186/s40364-023-00497-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10360339/
https://www.ncbi.nlm.nih.gov/pubmed/37475010
http://dx.doi.org/10.1186/s40364-023-00497-2

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