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MS1Former: A robust deep learning framework is used to identify nuances in LC-MS data for diagnosis of hepatocellular carcinoma

2024-02-16

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<title>Abstract</title> <p>Clinical proteomics analysis is of great significance for analyzing pathological mechanisms and discovering disease-related biomarkers. Using computational methods to accurately predict disease types can effectively improve patient disease diagnosis and prognosis. However, how to eliminate the errors introduced by peptide precursor identification and protein identification for pathologi...

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Literature Corpus work
5a19b3ce-7f9f-5e9c-b269-c8684bf8abbc
DOI
10.21203/rs.3.rs-3932753/v1
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MS1Former: A robust deep learning framework is used to identify nuances in LC-MS data for diagnosis of hepatocellular carcinomaDOI 10.21203/rs.3.rs-3932753/v1
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