How negative sampling shapes the performance of transcription factor binding site prediction models

Key Points

• Performance of transcription factor binding site prediction models is significantly shaped by negative sampling techniques.
• Effective negative sampling can enhance the accuracy of identifying real binding sites versus non-binding sites.
• The analysis includes various prediction models in bioinformatics to assess how negative samples impact their outcomes.
• Optimizing negative sampling methods may improve model effectiveness in transcription factor binding prediction, enhancing biological insights.