Ontology highlight
ABSTRACT:
SUBMITTER: Wang G
PROVIDER: S-EPMC8694594 | biostudies-literature | 2021 Dec
REPOSITORIES: biostudies-literature
Wang Guangxi G Yao Hantao H Gong Yan Y Lu Zipeng Z Pang Ruifang R Li Yang Y Yuan Yuyao Y Song Huajie H Liu Jia J Jin Yan Y Ma Yongsu Y Yang Yinmo Y Nie Honggang H Zhang Guangze G Meng Zhu Z Zhou Zhe Z Zhao Xuyang X Qiu Mantang M Zhao Zhicheng Z Jiang Kuirong K Zeng Qiang Q Guo Limei L Yin Yuxin Y
Science advances 20211222 52
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 machine learning (ML) and lipidomics to detect PDAC. Through greedy algorithm and mass spectrum feature selection, we optimized 17 characteristic metabolites as detection features and developed a liq ...[more]