ScADSATGRN: An Adaptive Diffusion Structure-Aware Transformer Based Method Inferring Gene Regulatory Networks from Single-Cell Transcriptomic Data
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5692-6_31
Reference22 articles.
1. Yuan, L., Guo, L.-H., Yuan, C.-A., et al.: Integration of multi-omics data for gene regulatory network inference and application to breast cancer. IEEE/ACM Trans. Comput. Biol. Bioinf. 16, 782–791 (2019)
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4. Yuan, L., Zhao, J., Shen, Z., et al.: ICircDA-NEAE: accelerated attribute network embedding and dynamic convolutional autoencoder for circRNA-disease associations prediction. PLoS Comput. Biol. 19, e1011344 (2023)
5. Kc, K., Li, R., Cui, F., et al.: GNE: a deep learning framework for gene network inference by aggregating biological information. BMC Syst. Biol. 13, 1–14 (2019)
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