Identification of hub genes and PPI network analysis.

Identification of hub genes and PPI network analysis.

<p><b>(A)</b> Identification of hub genes by 12 algorithms. <b>(B)</b> PPI network of hub genes. Rectangles represent genes; lines represent interactions between genes.</p>

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Bibliographic Details
Main Author: Yiqian Liu (392940) (author)
Other Authors: Ruixin Zhang (48813) (author), Xiaojie Sun (583553) (author), Wei Cui (92129) (author), Lixin Liu (676169) (author)
Published: 2025
Subjects:
Biophysics
Biochemistry
Microbiology
Cell Biology
Genetics
Molecular Biology
Immunology
Biological Sciences not elsewhere classified
weighted gene co
networks using genemania
immunohistochemical experiments confirmed
gene expression omnibus
gene expression data
expression network analysis
experimental evidence confirm
immune cell populations
immune cell infiltration
novel diagnostic biomarkers
new therapeutic targets
genes mainly promote
differentially expressed genes
div >< p
identify potential disulfidptosis
immune cells
therapeutic target
related biomarkers
identify hub
shared genes
hub genes
strong useful
sample gsea
related signature
potential utility
oxidative metabolism
hepatocellular carcinoma
gsva ).
gsea ),
efficient disulfidptosis
early diagnosis
cytokine pathways
cxcl8 </
common endpoint
28 types
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Description
Summary:<p><b>(A)</b> Identification of hub genes by 12 algorithms. <b>(B)</b> PPI network of hub genes. Rectangles represent genes; lines represent interactions between genes.</p>

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