HIGHLIGHTS
SUMMARY
To elucidate disease mechanisms, systems genetics approaches link GWAS SNPs to intermediate molecular traits by identifying quantitative trait loci (QTL), for example for gene_expression levels (eQTL) or DNA methylation at CpG dinucleotides (meQTL). A large body of work has focused on inferring regulatory interactions from high-throughput data by individually combining different omics data like gene_expression levels and genotype or chromosomal aberration information. Zuo et_al apply prior based inference to human cancer gene_expression data; however, they only use priors based on PPIs extracted from the STRING database and focus on differential expression analysis. The . . .
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