Differentially Expressed Genes in Liver Disease by Race and Disease Stage

A small dataset quantifying the number of genes differentially expressed between Black and White individuals across different stages of liver disease. The dataset is 5.5 KB in size and was authored by Ivan P. Gorlov, with a last update recorded on 2026-05-04. It is shared under a CC-BY-4.0 license on the figshare platform.

Use Cases

• Identify potential biomarkers for liver disease progression based on differential gene expression counts.
• Investigate racial disparities in molecular pathways involved in liver disease.
• Benchmark gene expression analysis pipelines using a focused count-based dataset.
• Inform the design of targeted genomic studies for specific liver disease stages.

Strengths

• Provides a specific count of differentially expressed genes, a key metric in genomics.
• Explicitly compares two demographic groups (Black and White individuals) for health disparity research.
• Distinguishes data by different stages of liver disease, allowing for stage-specific analysis.
• Has a clear open license (CC-BY-4.0) facilitating reuse.

Limitations

• The dataset is very small (5.5 KB), indicating limited scope, likely containing summary counts rather than raw expression data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for certain analyses.

Provenance

Source

figshare

Collection Method

The description suggests the data was likely generated from a genomic analysis comparing gene expression profiles.

Time Range

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Freshness

Last updated 2026-05-04 17:30:48; freshness should be verified.

Geography

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