Modern high-throughput experiments provide us with numerous potential associations
between genes and diseases. Experimental validation of all the discovered associations, let …

Many efforts are still devoted to the discovery of genes involved with specific phenotypes, in
particular, diseases. High‐throughput techniques are thus applied frequently to detect …

Motivation: Gene prioritization aims at identifying the most promising candidate genes
among a large pool of candidates—so as to maximize the yield and biological relevance of …

Disease-causing aberrations in the normal function of a gene define that gene as a disease
gene. Proving a causal link between a gene and a disease experimentally is expensive and …

Candidate gene identification is typically labour intensive, involving laboratory experiments
required to corroborate or disprove any hypothesis for a nominated candidate gene being …

Background The majority of common diseases are multi-factorial and modified by genetically
and mechanistically complex polygenic interactions and environmental factors. High …

Bioinformatics aids in the understanding of the biological processes of living beings and the
genetic architecture of human diseases. The discovery of disease-related genes improves …

Finding the most promising genes among large lists of candidate genes has been defined
as the gene prioritization problem. It is a recurrent problem in genetics in which genetic …

It's challenging work to identify disease-causing genes from the next-generation sequencing
(NGS) data of patients with Mendelian disorders. To improve this situation, researchers have …

Identifying disease genes is crucial to the understanding of disease pathogenesis, and to
the improvement of disease diagnosis and treatment. In recent years, many researchers …