Gene2role: a role-based gene embedding method for comparative analysis of signed gene regulatory networks
Abstract Background Understanding the dynamics of gene regulatory networks (GRNs) across various cellular states is crucial for deciphering the underlying mechanisms governing cell behavior and functionality. However, current comparative analytical methods, which often focus on simple topological in...
Saved in:
| Main Authors: | Xin Zeng, Shu Liu, Bowen Liu, Weihang Zhang, Wanzhe Xu, Fujio Toriumi, Kenta Nakai |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-05-01
|
| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12859-025-06128-x |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
GRLGRN: graph representation-based learning to infer gene regulatory networks from single-cell RNA-seq data
by: Kai Wang, et al.
Published: (2025-04-01) -
Thermodynamically consistent, reduced models of gene regulatory networks
by: Michael Pan, et al.
Published: (2025-07-01) -
Pairing of competitive and topologically distinct regulatory modules enhances patterned gene expression
by: Itai Yanai, et al.
Published: (2008-02-01) -
Genomic Analysis Reveals the Role of New Genes in Venom Regulatory Network of Parasitoid Wasps
by: Bo Zhang, et al.
Published: (2025-05-01) -
Cross-attention graph neural networks for inferring gene regulatory networks with skewed degree distribution
by: Jiaqi Xiong, et al.
Published: (2025-07-01)