CBFI: A multi-layer gene network key node identification algorithm integrating structural-biological features and dynamic regulatory weights

2026-04-30

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Yue Li

Junkai Kang

Xiaoyi Zhang *

DOI：10.1016/j.jbi.2026.105051

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Identifying key nodes within multi-layer GRNs is crucial for uncovering potential biomarkers and therapeutic targets. Key nodes exhibit both local structural advantages (e.g., bridging weak connections, disease associations) and global influence (e.g., centrality, regulatory impact). To comprehensively quantify node importance in multi-layer GRNs, we propose the CBFI (Comprehensive Biological Feature-based Importance) algorithm.

Keywords:

key nodes

multi-layer gene regulatory networks

CBFI algorithm

biological features

regulatory weights

CBFI: A multi-layer gene network key node identification algorithm integrating structural-biological features and dynamic regulatory weights

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