Analysis of key lncRNA related to Parkinson’s disease based on gene co-expression weight networks

Using the WGCNA method, we obtained PD-related modules, identified biologically significant gene modules, obtained core LncRNAs, and found potential target genes for enrichment analysis. The objective of our research was to advance more detailed and efficient treatment methods for lncRNAs associated with PD.

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Publication Details

Journal
Neurosciences
Published
2025-01-01
DOI
https://doi.org/10.17712/nsj.2025.1.20230112
Citations
2
Primary Topic
RNA regulation and disease
Type
article
Field-Weighted Citation Impact
1.61
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article

Analysis of key lncRNA related to Parkinson’s disease based on gene co-expression weight networks

Jiaying Luo, Xuemei Li, Wei Zhao, Wei Liang et al.
2 citations
Neurosciences
RNA regulation and disease
1.61
article

Analysis of key lncRNA related to Parkinson’s disease based on gene co-expression weight networks

Jiaying Luo, Xuemei Li, Wei Zhao, Wei Liang, Binghan Li, Weihua Jia
article en
2 citations

Abstract

Using the WGCNA method, we obtained PD-related modules, identified biologically significant gene modules, obtained core LncRNAs, and found potential target genes for enrichment analysis. The objective of our research was to advance more detailed and efficient treatment methods for lncRNAs associated with PD.

NeurosciencesVol. 30(1)
Weifang Medical University (CN), Capital Medical University (CN), Beijing Shijingshan Hospital (CN)
Openalex Percentile: Top 20%
RNA regulation and disease
1.61
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