EpiRL learns to detect gene-gene interactions.
problem Computational challenges in epistasis detection.
method Modeling epistasis as a Markov Decision Process and using reinforcement learning.
result EpiRL discovers highly interacted genes.
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SAERMA combines deep learning and rule mining to identify SNP interactions.
problem Identifying significant SNPs and their interactions in complex diseases.
method Stacked Autoencoder Rule Mining Algorithm (SAERMA) integrating deep learning and association rule mining.
result Achieved high classification accuracy (77% AUC, 77% SE, 68% SP) with 100 units.
In statistical genetics an important task involves building predictive models for the genotype-phenotype relationships and thus attribute a proportion of the total phenotypic variance to the variation in genotypes. Numerous models have been proposed to incorporate additive genetic effects into models for prediction or …