The application of weighted gene co-expression network analysis and support vector machine learning in the screening of Parkinson’s disease biomarkers and construction of diagnostic models

BACKGROUND: This study aims to utilize Weighted Gene Co-expression Network Analysis (WGCNA) and Support Vector Machine (SVM) algorithm for screening biomarkers and constructing a diagnostic model for Parkinson’s disease. METHODS: Firstly, we conducted WGCNA analysis on gene expression data from Park...

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Detalles Bibliográficos
Autores principales: Cai, Lijun, Tang, Shuang, Liu, Yin, Zhang, Yingwan, Yang, Qin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Molecular Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614158/
https://www.ncbi.nlm.nih.gov/pubmed/37908486
http://dx.doi.org/10.3389/fnmol.2023.1274268

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614158/
https://www.ncbi.nlm.nih.gov/pubmed/37908486
http://dx.doi.org/10.3389/fnmol.2023.1274268

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