Negative dataset selection impacts machine learning-based predictors for multiple bacterial species promoters

Motivation Advances in bacterial promoter predictors based on machine learning have greatly improved identification metrics. However, existing models overlooked the impact of negative datasets, previously identified in GC-content discrepancies between pos