Differential Gene Expression Analysis for Spinal Cord Injury Training Set

A 157.0 KB Excel file containing the results of a differential expression analysis comparing control and spinal cord injury (SCI) samples from a training set. The dataset was authored by Xiaowei Zha and last updated on May 4, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.

Use Cases

• Identify potential biomarker genes for spinal cord injury based on differential expression results.
• Validate gene expression signatures in an independent test set using the training set analysis.
• Perform pathway enrichment analysis based on the list of differentially expressed genes.
• Compare gene expression profiles between control and disease-state samples for mechanistic insights.

Strengths

• Dataset is small (157.0 KB), facilitating quick download and local analysis.
• Clear focus on a specific biological comparison (control vs. spinal cord injury).
• Has a permissive CC-BY-4.0 license allowing for broad reuse and redistribution.

Limitations

• Description metadata is limited; actual data quality and column semantics require manual inspection after download.
• Row count is unknown, which may limit suitability assessment for certain statistical methods.
• Column-level documentation is absent; field semantics must be inferred from the file.

Provenance

Source

figshare

Collection Method

Results from a computational differential expression analysis.

Time Range

The temporal coverage of the underlying samples is not specified.

Freshness

Last updated 2026-05-04 17:30:31; freshness should be verified.

Geography

The geographic origin of the samples is not specified.