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


ABSTRACT: [Figure: see text].

SUBMITTER: Wang G 

PROVIDER: S-EPMC8694594 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature

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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]

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