HCC Survival Prediction Model via SHAP and CODEX Immunomics

Additional file 2 of Wenjie Zou's research develops an interpretable machine learning model to predict hepatocellular carcinoma postoperative survival. The model likely integrates multimodal data from CODEX immunomics analysis of the tumor immune microenvironment and MRI scans. It is available as a ZIP file under a CC-BY-4.0 license.

Use Cases

• Training interpretable survival prediction models (inferred from domain, verify after download)
• Analyzing tumor immune microenvironment features (inferred from domain, verify after download)
• Benchmarking SHAP-based model explanation techniques (inferred from domain, verify after download)

Strengths

• Available under a permissive CC-BY-4.0 license
• Cross-platform presence on figshare suggests importance

Limitations

• Metadata is minimal; actual content requires verification after download
• Row count and specific column names are unknown

Provenance

Source

Wenjie Zou

Freshness

Last updated 2026-03-24