Transcriptome-based biomarker prediction for Parkinson’s disease using genome-scale metabolic modeling
Abstract Parkinson's disease (PD) is the second most common neurodegenerative disease in the world. Identification of PD biomarkers is crucial for early diagnosis and to develop target-based therapeutic agents. Integrative analysis of genome-scale metabolic models (GEMs) and omics data provides...
Main Authors: | Ecehan Abdik, Tunahan Çakır |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-01-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-51034-y |
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