Protein Expression Prediction Correlation Values for Four RNA-Based Methods

Additional file 2 contains Table S1, a dataset of prediction correlation values for four methods of approximating protein expression from RNA data. The dataset was authored by Josephine Fisher and last updated on June 4, 2026. It is a small CSV file of 11.7 KB, published under a CC-BY-4.0 license on figshare.

Use Cases

• Benchmarking RNA-to-protein prediction methods based on correlation values
• Comparing the performance of four specific approximation techniques described in the source paper
• Validating machine learning models for single-cell proteomics based on RNA proxy data

Strengths

• Dataset is openly licensed under CC-BY-4.0, allowing for reuse and redistribution.
• File size is precisely known (11.7 KB), indicating a small, focused dataset.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale analysis.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Josephine Fisher via figshare

Collection Method

Likely generated as supplementary material for a research paper comparing protein approximation methods.

Freshness

Last updated 2026-06-04 04:28:00; freshness should be verified.