AS prediction is a deep learning-based framework designed to predict the allele-specific (AS) activity of target genetic variants (SNPs). Depending on the associated cis-regulatory element type (e.g., promoter or enhancer), you can use the corresponding model (promoter or enhancer) to estimate the probability of AS activity. Additionally, this tool enables cross-specific predictions, further enhancing its versatility in genomic analysis.