Prognostic Model and Biomarker Data for Acute Myeloid Leukemia

Tong Yao's research data investigates the association between neddylation modification and Acute Myeloid Leukemia (AML). The dataset, 341.0 KB in size, supports the construction of a neddylation-related prognostic model and identification of therapeutic biomarkers. It was last updated on April 8, 2026.

Use Cases

• Constructing a prognostic model for AML using neddylation-related gene expression or protein activity scores.
• Identifying potential therapeutic biomarkers by analyzing correlations between neddylation features and clinical outcomes.
• Validating neddylation pathway associations with AML aggressiveness and immunotherapy responsiveness.

Strengths

• Data is openly licensed under CC-BY-4.0, permitting reuse and redistribution.
• Recent update in April 2026 indicates contemporary relevance for the research topic.

Limitations

• The dataset is very small at 341.0 KB, indicating limited scope and likely a small sample size.
• Specific row counts, column names, and sample data are unavailable, hindering immediate assessment of structure and content.

Provenance

Source

figshare, authored by tong yao.

Collection Method

Research data generated for a study constructing a prognostic model.

Time Range

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Freshness

Last updated on 2026-04-08.

Geography

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