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DeepDisSNP: Predicting disease-associated SNPs by representation learning on disease and SNP linkage disequilibrium networks.

Mammalian genome : official journal of the International Mammalian Genome Society - 19 Jun 2026

Le Duc-Hau

Abstract excerpt

Genome-wide association studies (GWAS) have identified numerous disease-associated single nucleotide polymorphisms (SNPs), yet many potential disease-SNP associations remain undiscovered due to the high dimensionality and sparsity of genomic data. Computational approaches that integrate biological network information can complement existing GWAS resources by prioritizing candidate disease-associated SNPs for...

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PMID: 42321529
DOI: 10.1007/s00335-026-10250-3

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 10 Sept 2026.

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