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 …

Rare diseases occur in a smaller proportion of the general population, which is variedly
defined as less than 200 000 individuals (US) or in less than 1 in 2000 individuals (Europe) …

Background High-throughput molecular interaction data have been used effectively to
prioritize candidate genes that are linked to a disease, based on the observation that the …

Motivation: A challenging problem after a genome-wide association study (GWAS) is to
balance the statistical evidence of genotype–phenotype correlation with a priori evidence of …

Genome-wide association analyses on large patient cohorts are generating large sets of
candidate disease genes. This is coupled with the availability of ever-increasing genomic …

Background Diabetes mellitus characterized by hyperglycemia as a result of insufficient
production of or reduced sensitivity to insulin poses a growing threat to the health of people …

Motivation: In attempts to determine the genetic causes of human disease, researchers are
often faced with a large number of candidate genes. Linkage studies can point to a genomic …

We present gene prioritization system (GPSy), a cross-species gene prioritization system
that facilitates the arduous but critical task of prioritizing genes for follow-up functional …

Recent technological advances in the detection of genomic structural variation have
revolutionized the field of medical genetics. Genome-wide screening for copy-number …

Predicting disease genes for a particular genetic disease is very challenging in
bioinformatics. Based on current research studies, this challenge can be tackled via network …