To mitigate amplification bias, researchers can employ several strategies:
Calibration: Regular calibration of instruments to ensure accurate amplification. Control samples: Using control samples to identify and correct for potential biases. Data analysis techniques: Advanced data analysis techniques to filter out noise and reduce the impact of bias. Reproducibility: Ensuring experiments are reproducible to confirm the reliability of amplified data.
