Negative sampling strategies impact the prediction of scale-free biomolecular network interactions with machine learning

Negative sampling strategies impact the prediction of scale-free biomolecular network interactions with machine learning

Abstract Background Understanding protein-molecular interaction is crucial for unraveling the mechanisms underlying diverse biological processes. Machine learning (ML) techniques have been extensively employed in predicting these interactions and have garnered substantial research focus. Previous st...

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Bibliographic Details
Main Authors: Pengpai Li, Bowen Shao, Guoqing Zhao, Zhi-Ping Liu
Format: Article
Language:English
Published: BMC 2025-05-01
Series:BMC Biology
Subjects:
Protein-molecular interactions
Machine learning
Negative sampling
Biological networks
Online Access:https://doi.org/10.1186/s12915-025-02231-w
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https://doi.org/10.1186/s12915-025-02231-w

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