Machine learning pipeline to analyze clinical and proteomics data: experiences on a prostate cancer case
Abstract Proteomic-based analysis is used to identify biomarkers in blood samples and tissues. Data produced by devices such as mass spectrometry requires platforms to identify and quantify proteins (or peptides). Clinical information can be related to mass spectrometry data to identify diseases at...
Main Authors: | Patrizia Vizza, Federica Aracri, Pietro Hiram Guzzi, Marco Gaspari, Pierangelo Veltri, Giuseppe Tradigo |
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格式: | 文件 |
语言: | English |
出版: |
BMC
2024-04-01
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丛编: | BMC Medical Informatics and Decision Making |
主题: | |
在线阅读: | https://doi.org/10.1186/s12911-024-02491-6 |
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