MultiGNN: A Graph Neural Network Framework for Inferring Gene Regulatory Networks from Single-Cell Multi-Omics Data

MultiGNN: A Graph Neural Network Framework for Inferring Gene Regulatory Networks from Single-Cell Multi-Omics Data

Gene regulatory networks (GRNs) describe the interactions between transcription factors (TFs) and their target genes, playing a crucial role in understanding gene functions and how cells regulate gene expression under different conditions. Recent advancements in multi-omics technologies have provide...

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Bibliographic Details
Main Authors: Dongbo Liu, Hao Chen, Jianxin Wang, Yeru Wang
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Computation
Subjects:
network inference
gene regulatory network
deep learning
Online Access:https://www.mdpi.com/2079-3197/13/5/124
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