crossrefMachine Learning and Knowledge Extraction2024-08-01Cited by 4
Enhanced Graph Representation Convolution: Effective Inferring Gene Regulatory Network Using Graph Convolution Network with Self-Attention Graph Pooling Layer
Duaa Mohammad Alawad, Ataur Katebi, Md Tamjidul Hoque
Studying gene regulatory networks (GRNs) is paramount for unraveling the complexities of biological processes and their associated disorders, such as diabetes, cancer, and Alzheimer’s disease. Recent advancements in computational biology have aimed to enhance the inference of GRN…