Centrality Rankings of BC Biomarkers in an Optimal PPI Network

64 breast cancer biomarkers are ranked by twelve centrality measures within a protein-protein interaction network constructed from 1,500 query genes. The network contains 1,362 nodes and 17,907 edges, with interactions filtered to medium confidence. Takanori Sasaki published this ranking table under a CC-BY-4.0 license in May 2026.

Use Cases

• Ranking biomarker importance for breast cancer based on twelve centrality measures
• Identifying key proteins in a PPI network based on clustering coefficient and maximal clique centrality
• Filtering network nodes based on degree centrality, as demonstrated by the exclusion of HOXB13 and SLC39A

Strengths

• Network constructed from a specific set of 1,500 query genes
• Includes twelve distinct centrality rankings (e.g., CC, DMNC, EPC, MCC, MNC) for comparative analysis
• Explicitly notes the exclusion of two biomarkers (HOXB13 and SLC39A) with a degree of 0 for clarity

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 (14.9 KB), indicating limited scope

Provenance

Source

figshare

Collection Method

Constructed from a protein-protein interaction network derived from 1,500 query genes.

Time Range

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Freshness

Last updated 2026-05-06 17:28:08; freshness should be verified

Geography

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