MCODE Node Scores for Breast Cancer Biomarker Complex Formation Prediction

64 breast cancer biomarkers are ranked by their capacity for protein complex formation within a 1,362-node protein-protein interaction network. Node scores were calculated using the MCODE algorithm on a network built from 1,500 query genes. The dataset, authored by Takanori Sasaki, was last updated on May 6, 2026, and is shared under a CC-BY-4.0 license.

Use Cases

• Ranking biomarker candidates for experimental validation based on MCODE node scores.
• Analyzing protein complex formation propensity within a breast cancer-related PPI network.
• Validating network clustering algorithms against known biological complexes.
• Identifying key hub proteins in breast cancer pathways from calculated node scores.

Strengths

• Focuses on 64 specific biomarkers for breast cancer research.
• Derived from a substantial network of 1,362 nodes and 17,907 edges.
• Clear provenance: scores calculated via the established MCODE algorithm on a defined PPI network.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 12.4 KB file size indicates a very limited scope of data.

Provenance

Source

figshare, author Takanori Sasaki.

Collection Method

MCODE algorithm applied to a protein-protein interaction network of breast cancer-related genes.

Time Range

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Freshness

Last updated 2026-05-06 17:28:10; freshness should be verified.

Geography

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