MetaSEM: Gene Regulatory Network Inference from Single-Cell RNA Data by Meta-Learning

MetaSEM: Gene Regulatory Network Inference from Single-Cell RNA Data by Meta-Learning

Regulators in gene regulatory networks (GRNs) are crucial for identifying cell states. However, GRN inference based on scRNA-seq data has several problems, including high dimensionality and sparsity, and requires more label data. Therefore, we propose a meta-learning GRN inference framework to ident...

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Bibliographic Details
Main Authors: Yongqing Zhang, Maocheng Wang, Zixuan Wang, Yuhang Liu, Shuwen Xiong, Quan Zou
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:International Journal of Molecular Sciences
Subjects:
meta-learning
gene regulator network inference
structural equation model
bi-level optimization
Online Access:https://www.mdpi.com/1422-0067/24/3/2595

Internet

https://www.mdpi.com/1422-0067/24/3/2595

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