Differential Gene Expression Between MVI-Positive and MVI-Negative Tumor Samples

Differential gene expression analysis comparing samples with and without microvascular invasion (MVI) within the tumor region. The dataset was created by Zhi-Hui Luo and is available under a CC-BY-4.0 license. It was last updated on May 15, 2026.

Use Cases

• Identify potential biomarker genes based on differential expression between MVI-positive and MVI-negative samples.
• Validate gene signatures for MVI prediction models based on the described regional analysis.
• Investigate tumor microenvironment biology based on gene expression differences linked to vascular invasion status.

Strengths

• Analysis accounts for patient-specific effects by using patient identity as a covariate.
• Dataset is openly available under a permissive CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Regional differentially expressed gene analysis using a linear model.

Freshness

Last updated 2026-05-15 18:00:36; freshness should be verified.