<p>Gene list ranked by five centrality algorithms.</p>

A gene list ranked by five centrality algorithms derived from a protein-protein interaction network analysis of olfactory dysfunction in allergic rhinitis. The dataset was created by Xinglong Chen and last updated on June 1, 2026. It is a small dataset of 5.5 KB, stored in an XLS file.

Use Cases

• Identify potential hub genes for allergic rhinitis based on centrality scores from five algorithms.
• Validate gene candidates like PLXNB1 in the context of immune infiltration analysis mentioned in the study.
• Investigate the relationship between gene expression and inflammatory pathways such as MAPK/p38 signaling.
• Prioritize therapeutic targets for olfactory dysfunction based on network analysis results.

Strengths

• Dataset is focused on a specific biomedical research question regarding olfactory dysfunction in allergic rhinitis.
• Analysis is based on differential gene expression from two GEO datasets (GSE75011 and GSE43523).
• Results were validated through in vitro and in vivo models, as described in the associated study.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (5.5 KB), indicating limited scope, likely containing only the ranked gene list.

Provenance

Source

figshare, author Xinglong Chen

Collection Method

Derived from differential gene expression analysis of GEO datasets GSE75011 and GSE43523, followed by protein-protein interaction network construction and centrality analysis.

Freshness

Last updated 2026-06-01 17:31:15; freshness should be verified.