When working with high-quality data—for example, datasets with clean sequencing reads, low background noise, strong signal-to-noise ratios, and highly significant peaks or variants (low p -values, e.g., <0.001)—CNN models are the preferred choice, as they excel at capturing local regulatory patterns with high accuracy.
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Comparative Analysis of Deep Learning Models for Predicting Causative Regulatory Variants.
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