GRLGRN: graph representation-based learning to infer gene regulatory networks from single-cell RNA-seq data

被引：0
|
作者：
Kai Wang [1 ]
Yulong Li [1 ]
Fei Liu [1 ]
Xiaoli Luan [1 ]
Xinglong Wang [2 ]
Jingwen Zhou [3 ]
机构：
[1] Jiangnan University,Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things Engineering
[2] Jiangnan University,Science Center for Future Foods
[3] Jiangnan University,Key Laboratory of Industrial Biotechnology, Ministry of Education and School of Biotechnology
[4] Jiangnan University,Engineering Research Center of Ministry of Education on Food Synthetic Biotechnology
[5] Jiangnan University,Jiangsu Province Engineering Research Center of Food Synthetic Biotechnology
来源：
BMC Bioinformatics | / 26卷 / 1期
关键词：
Gene regulatory network; Gene expression data; Graph representation learning; Implicit links;
D O I：
10.1186/s12859-025-06116-1
中图分类号：
学科分类号：
摘要：
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