Functional enrichment analysis of hub genes.

<p>(A) Hub genes were selected using the MCC algorithm. (B) Enrichment analysis of biological processes (BP) hub genes. (C) Enrichment analysis of cellular components (CC) of hub genes. (D) Enrichment analysis of molecular functions (MF) of hub genes. (E) Enrichment analysis of signaling pathw...

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Bibliographic Details
Main Author:	Tingting Liu (267387) (author)
Other Authors:	Jingwen Li (314020) (author), Junshi Zhang (9404552) (author), Jianshe Wei (18435783) (author)
Published:	2025
Subjects:	Biochemistry Cell Biology Genetics Molecular Biology Biological Sciences not elsewhere classified various analytical methods transmission electron microscopy process potentially leading potential therapeutic drugs parkinson &# 8217 neurodegenerative condition characterized modulating copper metabolism mirna network highlighted induced mouse model 31 distinct modules expression network analysis differential expression analysis potential hub genes identify module genes uncovered mitochondrial alterations potential pd treatments differentially expressed cuproptosis differential gene expression early pd diagnosis disease </ p related genes associated related genes protein analysis analysis led related pathways mitochondrial function mitochondrial dysfunction pd prevention pd ), thereby enhancing sy5y cells study concluded remaining five motor deficits kyoto encyclopedia intersecting degs internal training including nadh geo database gene ontology external validation enrichment analyses dopamine neurons designating one degs ). additional scrutiny 9 ),
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Functional enrichment analysis of hub genes.

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