Uncovering genetic associations in the human diseasome using an endophenotype-augmented disease network
Sign Up to like & getrecommendations! Published in 2024 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btae126
Abstract: Abstract Motivation Many diseases, particularly cardiometabolic disorders, exhibit complex multimorbidities with one another. An intuitive way to model the connections between phenotypes is with a disease-disease network (DDN), where nodes represent diseases and edges represent… read more here.
Keywords: disease; genetic associations; associations human; network ... See more keywords
DISNOR: a disease network open resource
Sign Up to like & getrecommendations! Published in 2018 at "Nucleic Acids Research"
DOI: 10.1093/nar/gkx876
Abstract: Abstract DISNOR is a new resource that aims at exploiting the explosion of data on the identification of disease-associated genes to assemble inferred disease pathways. This may help dissecting the signaling events whose disruption causes… read more here.
Keywords: disease network; resource; disease; disnor disease ... See more keywords
The translational network for metabolic disease – from protein interaction to disease co-occurrence
Sign Up to like & getrecommendations! Published in 2019 at "BMC Bioinformatics"
DOI: 10.1186/s12859-019-3106-9
Abstract: BackgroundThe recent advances in human disease network have provided insights into establishing the relationships between the genotypes and phenotypes of diseases. In spite of the great progress, it yet remains as only a map of… read more here.
Keywords: protein interaction; disease network; disease occurrence; network ... See more keywords
Epidemiological Characterization of a Directed and Weighted Disease Network Using Data From a Cohort of One Million Patients: Network Analysis
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Medical Internet Research"
DOI: 10.2196/15196
Abstract: Background In the past 20 years, various methods have been introduced to construct disease networks. However, established disease networks have not been clinically useful to date because of differences among demographic factors, as well as… read more here.
Keywords: disease network; using data; network; disease ... See more keywords