Cep Ip Framework

CEP-IP is a framework for identifying cell subpopulations with strong pairwise monotonic gene-module relationships in single-cell RNA sequencing data. The dataset was created by Kah Keng Wong and published in Computer Methods and Programs in Biomedicine. It was last updated on the Hugging Face platform on 2026-05-02.

Use Cases

• Identifying cell subpopulations based on monotonic gene-module relationships as described in the abstract.
• Developing explainable AI approaches for single-cell RNA sequencing data analysis.
• Benchmarking new cell type identification algorithms against the CEP-IP framework.

Strengths

• Framework is described in a peer-reviewed publication (Computer Methods and Programs in Biomedicine).
• Dataset was last updated on 2026-05-02, suggesting recent maintenance.

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

Hugging Face (user kahkengwong).

Collection Method

Likely contains data or results from the CEP-IP computational framework.

Freshness

Last updated 2026-05-02 21:29:14.