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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2021
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Materias: | |
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 |
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