Machine Learning Method Usability Scores for Single-Cell Protein Expression

Additional file 3 from a research publication comparing machine learning methods for predicting single-cell protein expression. The dataset, titled 'Table S2', contains usability scores for each method, split by publication and performance evaluation. It was authored by Josephine Fisher, shared under a CC-BY-4.0 license, and last updated on June 4, 2026.

Use Cases

• Compare method usability based on scores split by publication.
• Benchmark machine learning performance for single-cell protein expression prediction.
• Inform method selection for single-cell analysis pipelines based on usability metrics.

Strengths

• File size is 18.2 KB, indicating a focused and manageable dataset.
• Dataset is directly associated with a published research paper, providing context.
• Licensed under CC-BY-4.0, allowing for broad reuse and sharing.

Limitations

• Row count is unknown, which may limit suitability assessment.
• 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

figshare

Collection Method

Likely compiled as supplementary material for a research publication.

Freshness

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