HGATLink: single-cell gene regulatory network inference via the fusion of heterogeneous graph attention networks and transformer

HGATLink: single-cell gene regulatory network inference via the fusion of heterogeneous graph attention networks and transformer

Abstract Background Gene regulatory networks (GRNs) involve complex regulatory relationships between genes and play important roles in the study of various biological systems and diseases. The introduction of single-cell sequencing (scRNA-seq) technology has allowed gene regulation studies to be car...

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Bibliographic Details
Main Authors: Yao Sun, Jing Gao
Format: Article
Language:English
Published: BMC 2025-02-01
Series:BMC Bioinformatics
Subjects:
Gene regulatory network
Matrix decomposition
Transformer
Attention mechanism
ScRNA-seq
Online Access:https://doi.org/10.1186/s12859-025-06071-x
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https://doi.org/10.1186/s12859-025-06071-x

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