ArticleNucleic acids research2009
PosMed (Positional Medline): prioritizing genes with an artificial neural network comprising medical documents to accelerate positional cloning.
Article in Nucleic acids research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 47 citations in OpenAlex.
- Gain-of-function mutations in a member of the Src family kinases cause autoinflammatory bone disease in mice and humans.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Scuba: scalable kernel-based gene prioritization.BMC bioinformatics · 2018Article
- Hyperactivation of JAK1 tyrosine kinase induces stepwise, progressive pruritic dermatitis.The Journal of clinical investigation · 2016Article
- A Rb1 promoter variant with reduced activity contributes to osteosarcoma susceptibility in irradiated mice.Molecular cancer · 2014Article
- PosMed: Ranking genes and bioresources based on Semantic Web Association Study.Nucleic acids research · 2013Article
- Candidate gene identification for systemic lupus erythematosus using network centrality measures and gene ontology.PloS one · 2013Article
- Eeyore: a novel mouse model of hereditary deafness.PloS one · 2013Article
- Candidate gene prioritization.Molecular genetics and genomics : MGG · 2012Review
- Computational tools for prioritizing candidate genes: boosting disease gene discovery.Nature reviews. Genetics · 2012Review
- Bioinformatics for personal genome interpretation.Briefings in bioinformatics · 2012Review
- GPSy: a cross-species gene prioritization system for conserved biological processes--application in male gamete development.Nucleic acids research · 2012Article
- Development and function of invariant natural killer T cells producing T(h)2- and T(h)17-cytokines.PLoS biology · 2012Article
- The genetic control of avascular area in mouse oxygen-induced retinopathy.Molecular vision · 2012Article
- PINTA: a web server for network-based gene prioritization from expression data.Nucleic acids research · 2011Article
- Intersubspecific subcongenic mouse strain analysis reveals closely linked QTLs with opposite effects on body weight.Mammalian genome : official journal of the International Mammalian Genome Society · 2011Article
- Annotating genes and genomes with DNA sequences extracted from biomedical articles.Bioinformatics (Oxford, England) · 2011Article
- ARTADE2DB: improved statistical inferences for Arabidopsis gene functions and structure predictions by dynamic structure-based dynamic expression (DSDE) analyses.Plant & cell physiology · 2011Article
- Article
- The RIKEN integrated database of mammals.Nucleic acids research · 2011Article
- Random mutagenesis of the mouse genome: a strategy for discovering gene function and the molecular basis of disease.American journal of physiology. Gastrointestinal and liver physiology · 2011Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PosMed (http://omicspace.riken.jp/) prioritizes candidate genes for positional cloning by employing our original database search engine GRASE, which uses an inferential process similar to an artificial neural network comprising documental neurons (or 'documentrons') that represent each document contained in databases such as MEDLINE and OMIM. Given a user-specified query, PosMed initially performs a full-text search of each documentron in the first-layer artificial neurons and then calculates the statistical significance of the connections between the hit documentrons and the second-layer artificial neurons representing each gene. When a chromosomal interval(s) is specified, PosMed explores the second-layer and third-layer artificial neurons representing genes within the chromosomal interval by evaluating the combined significance of the connections from the hit documentrons to the genes. PosMed is, therefore, a powerful tool that immediately ranks the candidate genes by connecting phenotypic keywords to the genes through connections representing not only gene-gene interactions but also other biological interactions (e.g. metabolite-gene, mutant mouse-gene, drug-gene, disease-gene and protein-protein interactions) and ortholog data. By utilizing orthologous connections, PosMed facilitates the ranking of human genes based on evidence found in other model species such as mouse. Currently, PosMed, an artificial superbrain that has learned a vast amount of biological knowledge ranging from genomes to phenomes (or 'omic space'), supports the prioritization of positional candidate genes in humans, mouse, rat and Arabidopsis thaliana.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.