Evolutionary Conservation Scores for 64 Breast Cancer Biomarkers Across Five Species

64 breast cancer biomarkers are ranked and scored for evolutionary conservation across five eukaryotic species. The data, published by Takanori Sasaki in May 2026, includes ortholog candidates and true ortholog pairs identified from a 1,362-node protein-protein interaction network. Each true ortholog pair contributes a conservation score of 0.2.

Use Cases

• Ranking biomarker importance based on the MCC score mentioned in the description
• Analyzing evolutionary conservation patterns across species based on the 0-1.0 conservation scores
• Identifying true orthologs for human genes based on the seed score >0.95 criterion
• Integrating conservation data into network analyses of the 1,500-query-gene PPI network

Strengths

• Includes 64 specific biomarkers for breast cancer research
• Provides evolutionary conservation scores on a defined 0-1.0 scale
• Identifies orthologs across five eukaryotic species, offering comparative context
• Derived from a substantial underlying network of 1,362 nodes

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• The dataset is very small at 15.1 KB, indicating limited scope

Provenance

Source

figshare, author Takanori Sasaki

Collection Method

Derived from analysis of a 1,500-query-gene protein-protein interaction network.

Time Range

null

Freshness

Last updated 2026-05-06 17:28:09; freshness should be verified

Geography

null