XL-MSDigger: Deep Learning for Cross-Linking Mass Spectrometry

Source data for the figures in the main text of a study on XL-MSDigger, a deep learning-based solution for cross-linking mass spectrometry. The dataset is provided in an Excel (XLSX) format and totals 1,720,474 bytes in size. It is openly licensed under CC-BY-4.0 and was last updated on March 19, 2026.

Use Cases

• Benchmarking deep learning models for cross-link identification (inferred from domain, verify after download)
• Reproducing figures from a published computational chemistry study (inferred from domain, verify after download)
• Training new algorithms for protein-protein interaction mapping via mass spectrometry data (inferred from domain, verify after download)

Strengths

• Openly licensed under CC-BY-4.0, facilitating reuse and sharing
• Appears on multiple platforms (figshare), indicating established sharing and potential for verification

Limitations

• Metadata is minimal; actual content requires verification after download
• Column names and row counts are not provided, limiting assessment of structure and scale
• The description is generic ('Source data for the figures'), offering little detail on specific contents

Provenance

Source

Authored by Moran Chen

Collection Method

Likely generated as source data for a scientific publication's figures

Freshness

Last updated 2026-03-19