CircRNA-Drug Sensitivity Association Similarity Matrices

Figshare hosts similarity matrices used by the CFGSCDSA computational method for predicting circular RNA and drug sensitivity associations. The dataset, authored by Xue Zhang and last updated in March 2026, is a 5.5 KB XLS file released under a CC BY 4.0 license.

Use Cases

• Integrate heterogeneous features from diverse data sources to address data sparsity in circRNA-drug association models.
• Apply graph structure learning with a confidence-guided pseudo-labeling strategy to mitigate issues from excessive negative samples.
• Validate computational predictions of novel associations and new drug-related links against experimental case studies.

Strengths

• Derived from a method integrating collaborative feature learning and graph structure learning, as described in the source publication.
• Released under a permissive CC BY 4.0 license, facilitating reuse and modification.
• Dataset is actively maintained, with a last update timestamp of March 2026.

Limitations

• Extremely small scale at 5.5 KB, indicating a highly summarized or auxiliary dataset, not a primary training corpus.
• No row count, column names, or sample data are provided, limiting immediate understanding of the data structure.

Provenance

Source

Figshare, authored by Xue Zhang.

Collection Method

Computational generation as part of the CFGSCDSA (collaborative feature learning and graph structure learning) method.

Time Range

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Freshness

Last updated 2026-03-13.

Geography

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