MelonnPan Predictions: Spearman Correlation Coefficients for Multi-Omics Inputs

6.7 KB of tabular data comparing the predictive performance of the MelonnPan tool. The dataset contains average Spearman’s rank correlation coefficients for the top 50 predictions across single-omics and multi-omics input types, including pathways and taxonomic profiles. Bianca-Maria Cosma published the data on figshare under a CC-BY-4.0 license, with a last update timestamp of 2026-04-10 17:48:56.

Use Cases

• Benchmarking metabolite prediction accuracy based on Spearman correlation coefficients.
• Comparing the performance of single-omics versus multi-omics input data types.
• Analyzing the impact of pathway (mGx_pa) and taxonomic profile (mGx_taxa) data on prediction results.

Strengths

• Results for each output type are explicitly highlighted for clarity.
• Data is openly licensed under CC-BY-4.0.
• File size is 6.7 KB, enabling quick download and inspection.

Limitations

• Row count and column definitions are unknown, requiring manual inspection after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Likely contains computational results from the MelonnPan prediction tool.

Time Range

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Freshness

Last updated 2026-04-10 17:48:56; freshness should be verified.

Geography

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