Metabolic detection and systems analyses of pancreatic ductal adenocarcinoma through machine learning, lipidomics, and multi-omics

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancers, characterized by rapid progression, metastasis, and difficulty in diagnosis. However, there are no effective liquid-based testing methods available for PDAC detection. Here we introduce a minimally invasive approach that uses...

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Detalles Bibliográficos
Autores principales: Wang, Guangxi, Yao, Hantao, Gong, Yan, Lu, Zipeng, Pang, Ruifang, Li, Yang, Yuan, Yuyao, Song, Huajie, Liu, Jia, Jin, Yan, Ma, Yongsu, Yang, Yinmo, Nie, Honggang, Zhang, Guangze, Meng, Zhu, Zhou, Zhe, Zhao, Xuyang, Qiu, Mantang, Zhao, Zhicheng, Jiang, Kuirong, Zeng, Qiang, Guo, Limei, Yin, Yuxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2021
Materias:
Biomedicine and Life Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8694594/
https://www.ncbi.nlm.nih.gov/pubmed/34936449
http://dx.doi.org/10.1126/sciadv.abh2724

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8694594/
https://www.ncbi.nlm.nih.gov/pubmed/34936449
http://dx.doi.org/10.1126/sciadv.abh2724

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