N-semble-based method for identifying Parkinson’s disease genes
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-05974-z
Abstract: Parkinson’s disease (PD) genes identification plays an important role in improving the diagnosis and treatment of the disease. A number of machine learning methods have been proposed to identify disease-related genes, but only few of… read more here.
Keywords: semble method; proposed semble; parkinson disease; method ... See more keywords
GPS: Identification of disease genes by rank aggregation of multi-genomic scoring schemes.
Sign Up to like & getrecommendations! Published in 2018 at "Genomics"
DOI: 10.1016/j.ygeno.2018.03.017
Abstract: In solving the gene prioritization problem, ranking candidate genes from most to least promising is attempted before further experimental validation. Integrating the results of various data sources and methods tends to result in a better… read more here.
Keywords: data sources; multi genomic; prioritization; scoring schemes ... See more keywords
Machine learning-based approaches for disease gene prediction.
Sign Up to like & getrecommendations! Published in 2020 at "Briefings in functional genomics"
DOI: 10.1093/bfgp/elaa013
Abstract: Disease gene prediction is an essential issue in biomedical research. In the early days, annotation-based approaches were proposed for this problem. With the development of high-throughput technologies, interaction data between genes/proteins have grown quickly and… read more here.
Keywords: machine learning; disease gene; gene prediction; disease genes ... See more keywords
Discovering potential interactions between rare diseases and COVID-19 by combining mechanistic models of viral infection with statistical modeling
Sign Up to like & getrecommendations! Published in 2022 at "Human Molecular Genetics"
DOI: 10.1093/hmg/ddac007
Abstract: Abstract Recent studies have demonstrated a relevant role of the host genetics in the coronavirus disease 2019 (COVID-19) prognosis. Most of the 7000 rare diseases described to date have a genetic component, typically highly penetrant.… read more here.
Keywords: disease; disease genes; infection; potential interactions ... 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
DeMAG predicts the effects of variants in clinically actionable genes by integrating structural and evolutionary epistatic features
Sign Up to like & getrecommendations! Published in 2022 at "Nature Communications"
DOI: 10.1101/2022.06.15.496230
Abstract: Interpretation of rare genetic variants remains challenging. Here, the authors develop a supervised variant effect predictor for use in clinically actionable genes which incorporates evolutionary and structural relationships between residues and has balanced specificity and… read more here.
Keywords: demag predicts; clinically actionable; predicts effects; disease genes ... See more keywords
Significance and Functional Similarity for Identification of Disease Genes
Sign Up to like & getrecommendations! Published in 2017 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2016.2598163
Abstract: One of the most significant research issues in functional genomics is insilico identification of disease related genes. In this regard, the paper presents a new gene selection algorithm, termed as SiFS, for identification of disease… read more here.
Keywords: similarity; functional similarity; identification disease; disease genes ... See more keywords
Prioritizing Type 2 Diabetes Genes by Weighted PageRank on Bilayer Heterogeneous Networks
Sign Up to like & getrecommendations! Published in 2021 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2019.2917190
Abstract: The prevalence of diabetes mellitus has been increasing rapidly in recent years. Type 2 diabetes makes up about 90 percent cases of diabetes. The interacting mixed effects of genetics and environments build possible interpretable pathogenesis.… read more here.
Keywords: prioritizing type; type diabetes; disease genes; diabetes genes ... See more keywords
Multi-View Kernel Learning for Identification of Disease Genes.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2023.3247033
Abstract: Gene expression data sets and protein-protein interaction (PPI) networks are two heterogeneous data sources that have been extensively studied, due to their ability to capture the co-expression patterns among genes and their topological connections. Although… read more here.
Keywords: disease genes; kernel learning; multi view; view kernel ... See more keywords
Mutations in known disease genes account for the majority of autosomal recessive retinal dystrophies
Sign Up to like & getrecommendations! Published in 2018 at "Clinical Genetics"
DOI: 10.1111/cge.13426
Abstract: Retinal dystrophies (RDs) are hereditary blinding eye conditions that are highly variable in their clinical presentation. The remarkable genetic heterogeneity that characterizes RD was a major challenge in establishing the molecular diagnosis in these patients… read more here.
Keywords: genes account; retinal dystrophies; autosomal recessive; disease genes ... See more keywords
A statistical model to find disease genes
Sign Up to like & getrecommendations! Published in 2019 at "Science"
DOI: 10.1126/science.366.6463.320-f
Abstract: Gene Expression Genetic variation is high among individuals, which makes it difficult to identify any one specific pathogenetic variant in patients with idiopathic disease, especially those that are in noncoding regions of the genome. Examining… read more here.
Keywords: find disease; model find; statistical model; expression ... See more keywords