Supervised Parametric Learning in the Identification of Composite Biomarker Signatures of Type 1 Diabetes in Integrated Parallel Multi-Omics Datasets

Supervised Parametric Learning in the Identification of Composite Biomarker Signatures of Type 1 Diabetes in Integrated Parallel Multi-Omics Datasets

Background: Type 1 diabetes (T1D) is a devastating autoimmune disease, and its rising prevalence in the United States and around the world presents a critical problem in public health. While some treatment options exist for patients already diagnosed, individuals considered at risk for developing T1...

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Bibliographic Details
Main Authors: Jerry Bonnell, Oscar Alcazar, Brandon Watts, Peter Buchwald, Midhat H. Abdulreda, Mitsunori Ogihara
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Biomedicines
Subjects:
biomarker signatures
early diagnosis
integrated analysis
lipidomics
machine learning (ML)
multi-view architecture
Online Access:https://www.mdpi.com/2227-9059/12/3/492

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