THGB: predicting ligand-receptor interactions by combining tree boosting and histogram-based gradient boosting

Abstract Ligand-receptor interaction (LRI) prediction has great significance in biological and medical research and facilitates to infer and analyze cell-to-cell communication. However, wet experiments for new LRI discovery are costly and time-consuming. Here, we propose a computational model called...

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Detalhes bibliográficos

Principais autores:	Liqian Zhou, Jiao Song, Zejun Li, Yingxi Hu, Wenyan Guo
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2024-11-01
coleção:	Scientific Reports
Assuntos:	Ligand-receptor interaction Feature selection Tree boosting Histogram-based gradient boosting
Acesso em linha:	https://doi.org/10.1038/s41598-024-78954-7
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