Machine learning pipeline to analyze clinical and proteomics data: experiences on a prostate cancer case

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...

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Bibliographic Details
Main Authors: Patrizia Vizza, Federica Aracri, Pietro Hiram Guzzi, Marco Gaspari, Pierangelo Veltri, Giuseppe Tradigo
Format: Article
Language:English
Published: BMC 2024-04-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Machine learning
Prostate cancer
Biological pipeline
Data enhancing
Online Access:https://doi.org/10.1186/s12911-024-02491-6

Internet

https://doi.org/10.1186/s12911-024-02491-6

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