A Multivariate Biomarker for Parkinson’s Disease

dc.contributor.authorCrocetti, Giancarlo
dc.contributor.authorCoakley, Michael
dc.contributor.authorDressner, Phil
dc.contributor.authorKellum, Wanda
dc.contributor.authorLamin, Tamba
dc.date.accessioned2025-03-04T11:31:46Z
dc.date.issued2015-05-15
dc.descriptionIn this study, we executed a genomic analysis with the objective of selecting a set of genes (possibly small) that would help in the detection and classification of samples from patients affected by Parkinson Disease. We performed a complete data analysis and during the exploratory phase, we selected a list of differentially expressed genes. Despite their association with the diseased state, we could not use them as a biomarker tool. Therefore, our research was extended to include a multivariate analysis approach resulting in the identification and selection of a group of 20 genes that showed a clear potential in detecting and correctly classify Parkinson Disease samples even in the presence of other neurodegenerative disorders.
dc.description.abstractIn this study, we executed a genomic analysis with the objective of selecting a set of genes (possibly small) that would help in the detection and classification of samples from patients affected by Parkinson Disease. We performed a complete data analysis and during the exploratory phase, we selected a list of differentially expressed genes. Despite their association with the diseased state, we could not use them as a biomarker tool. Therefore, our research was extended to include a multivariate analysis approach resulting in the identification and selection of a group of 20 genes that showed a clear potential in detecting and correctly classify Parkinson Disease samples even in the presence of other neurodegenerative disorders.
dc.identifier.citationM Coakley, G Crocetti, P Dressner, W Kellum, T Lamin - arXiv preprint arXiv:1505.06967, 2015
dc.identifier.urihttps://dspace.njala.edu.sl/handle/20.500.144402/129
dc.language.isoen_US
dc.publisherIn the Proceedings of 12th Annual Research Day, 2014 - Pace University
dc.titleA Multivariate Biomarker for Parkinson’s Disease
dc.typeArticle

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