7. Balance your dataset
Be sure to balance data across different categories, such as healthy versus diseased samples, to avoid skewed or biased results.
Within genomics, underrepresented populations present a significant problem, which can impact the reliability of AI models.
Correct any imbalances by adding data from external sources, generating synthetic data, upweighting any underrepresented samples to ensure fairer learning, or using data resampling techniques to adjust the data distribution.6