Identification of Novel Noninvasive Diagnostics Biomarkers in the Parkinson's Diseases and Improving the Disease Classification Using Support Vector Machine.

Journal: BioMed research international

Published Date: Mar 15, 2022

Abstract

BACKGROUND: Parkinson's disease (PD) is a neurological disorder that is marked by the deficit of neurons in the midbrain that changes motor and cognitive function. In the substantia nigra, the selective demise of dopamine-producing neurons was the main cause of this disease. The purpose of this research was to discover genes involved in PD development.

Authors

Shadi Moradi

Department of Medical Immunology, School of Medicine, Hamadan University of Medical Science, Hamadan, Iran.
Leili Tapak

Modeling of Noncommunicable Diseases Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.
Saeid Afshar

Research Center for Molecular Medicine, Hamadan University of Medical Science, Hamadan, Iran.

Keywords

Biomarkers Computational Biology Gene Expression Profiling Humans Parkinson Disease Protein Interaction Maps Software Support Vector Machine

External Resources

View on PubMed Access via DOI PubMed (35342758)

Identification of Novel Noninvasive Diagnostics Biomarkers in the Parkinson's Diseases and Improving the Disease Classification Using Support Vector Machine.

Abstract

Authors

Keywords

External Resources

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