GRNFormer: Accurate Gene Regulatory Network Inference Using Graph Transformer

Key Points

• To develop and evaluate GRNFormer, a tool for accurately inferring gene regulatory networks.
• Utilized a graph transformer model for network inference.
• Evaluated the tool using benchmark datasets and performance metrics.
• Made the tool accessible on GitHub for reproducibility.
• Demonstrated improved accuracy in gene regulatory network predictions.
• Achieved better performance compared to existing methods in benchmark comparisons.