A 6.1 MB gene expression matrix from the GEO database, uploaded by Hao Tang in May 2026. The dataset was used in a bioinformatics study to identify hub genes linking osteoporosis and chronic kidney disease, with validation performed using mouse models.
Use Cases
- Identifying differentially expressed genes between disease states based on the expression matrix.
- Training machine learning models for disease diagnosis based on identified hub genes like FAM184A and NFKBIA.
- Analyzing relationships between gene expression and immune cell infiltration as described in the study.
- Validating gene expression findings in pan-cancer contexts as referenced in the analysis.
Strengths
- Dataset is 6.1 MB in size, indicating a manageable download.
- License is CC-BY-4.0, permitting open sharing and adaptation.
- Study methodology involved validation with independent GEO datasets and mouse models.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Gene Expression Omnibus (GEO) database, accession GSE15072.
- Collection Method
- Downloaded from GEO for bioinformatics analysis; likely contains microarray or RNA-seq expression data.
- Time Range
- null
- Freshness
- Last updated 2026-05-04 17:35:34; freshness should be verified.
- Geography
- null