Using expression quantitative trait loci data and graph-embedded neural networks to uncover genotype-phenotype interactions.

ABSTRACT: Motivation: A central goal of current biology is to establish a complete functional link between the genotype and phenotype, known as the so-called genotype-phenotype map. With the continuous development of high-throughput technology and the decline in sequencing costs, multi-omics analysis has become more widely employed. While this gives us new opportunities to uncover the correlation mechanisms between single-nucleotide polymorphism (SNP), genes, and phenotypes, multi-omics still faces certain challenges, specifically: 1) When the sample size is large enough, the number of omics types is often not large enough to meet the requirements of multi-omics analysis; 2) each omics' internal correlations are often unclear, such as the correlation between genes in genomics; 3) when

SUBMITTER: Guo X 

PROVIDER: S-EPMC9421127 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature