Comparison of Similarity and Distance Metrics for Multi-Omics Graph Construction

A 5.5 KB Excel file summarizing similarity and distance metrics for multi-omics graph construction. It was authored by Masrafe Bin Hannan Siam and last updated on March 19, 2026. The dataset likely contains a comparison of methods, including their mathematical ranges, core capabilities, and tunable hyperparameters.

Use Cases

• Selecting a similarity metric for graph-based disease classification based on the summarized core capabilities.
• Tuning hyperparameters for graph convolutional networks based on the listed tunable parameters for each method.
• Systematically evaluating the statistical robustness of different similarity measures for omics data integration.
• Designing hybrid similarity networks for precision medicine applications based on the method comparison.

Strengths

• File size is 5.5 KB, indicating a concise, focused summary.
• License is CC-BY-4.0, allowing for broad reuse and modification.
• Platform tags provide specific context about the dataset's application in omics and machine learning.

Limitations

• Row count and column definitions are unknown, limiting suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is a summary table, not raw multi-omics data.

Provenance

Source

figshare

Freshness

Last updated 2026-03-19 17:42:10