Cross-attention graph neural networks for inferring gene regulatory networks with skewed degree distribution
Abstract Background Inferring Gene Regulatory Networks (GRNs) from gene expression data is a pivotal challenge in systems biology. Most existing methods fail to consider the skewed degree distribution of genes, complicating the application of directed graph embedding methods. Results The Cross-Atten...
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| Asıl Yazarlar: | , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
BMC
2025-07-01
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| Seri Bilgileri: | BMC Bioinformatics |
| Konular: | |
| Online Erişim: | https://doi.org/10.1186/s12859-025-06186-1 |
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