Data Dependency: The accuracy of iRegulon's predictions heavily depends on the quality and quantity of the input gene expression data. Computational Complexity: The analysis can be computationally intensive and time-consuming, particularly for large datasets. False Positives: As with any prediction tool, there's a risk of false positives, where predicted TFs may not actually regulate the target genes in a biological context.
