Ge-SAND: an explainable deep learning-driven framework for disease risk prediction by uncovering complex genetic interactions in parallel.

For schizophrenia, the statistical analysis revealed that 25 out of the top 30 gene pairs shared at least one Biological Process (BP) pathway, and the observed enrichment is highly significant ( P = 9.99 × 10 –4 , computed as ( w + 1)/(1,000 + 1) where no background iterations reached ≥ 25, thus w = 0) compared to random expectations.

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