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Extraction of Reduced Infrared Biomarker Signatures for the Stratification of Patients Affected by Parkinson's Disease: An Untargeted Metabolomic Approach
2022
Chemosensors
An untargeted Fourier transform infrared (FTIR) metabolomic approach was employed to study metabolic changes and disarrangements, recorded as infrared signatures, in Parkinson's disease (PD). Herein, the principal aim was to propose an efficient sequential classification strategy based on SELECT-LDA, which enabled optimal stratification of three main categories: PD patients from subjects with Alzheimer's disease (AD) and healthy controls (HC). Moreover, sub-categories, such as PD at the early
doi:10.3390/chemosensors10060229
doaj:71c5a2173023470e833767da79ae90d1
fatcat:zymkfvqk5nbv5pjs6mzwjrwuk4