An explainable machine learning-driven proposal of pulmonary fibrosis biomarkers

An explainable machine learning-driven proposal of pulmonary fibrosis biomarkers

Pulmonary fibrosing diseases are in the very epicenter of biomedical research both due to their increasing prevalence and their association with SARS-CoV-2 infections. Research of idiopathic pulmonary fibrosis, the most lethal among the interstitial lung diseases, is in need for new biomarkers and p...

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Bibliographic Details
Main Authors: Dionysios Fanidis, Vasileios C. Pezoulas, Dimitrios I. Fotiadis, Vassilis Aidinis
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Idiopathic pulmonary fibrosis (IPF)
Machine learning
Diagnostic biomarkers
Omics data
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037023001423

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http://www.sciencedirect.com/science/article/pii/S2001037023001423

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