CERENKOV3: Clustering and molecular network-derived features improve computational prediction of functional noncoding SNPs
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DOI: 10.1142/9789811215636_0047
Abstract: Identification of causal noncoding single nucleotide polymorphisms (SNPs) is important for maximizing the knowledge dividend from human genome-wide association studies (GWAS). Recently, diverse machine learning-based methods have been used for functional SNP identification; however, this… read more here.
Keywords: molecular network; network; snps; derived features ... See more keywords