ArticleNucleic acids research2011
PINTA: a web server for network-based gene prioritization from expression data.
Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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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.
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Who cites it
40 citing papers in PubMed, 74 citations in OpenAlex.
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- WINNER: A network biology tool for biomolecular characterization and prioritization.Frontiers in big data · 2022Article
- Angiogenesis goes computational - The future way forward to discover new angiogenic targets?Computational and structural biotechnology journal · 2022Review
- Biological Network Mining.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Universal concept signature analysis: genome-wide quantification of new biological and pathological functions of genes and pathways.Briefings in bioinformatics · 2020Article
- Network hub-node prioritization of gene regulation with intra-network association.BMC bioinformatics · 2020Article
- Review
- A rectified factor network based biclustering method for detecting cancer-related coding genes and miRNAs, and their interactions.Methods (San Diego, Calif.) · 2019Article
- BEERE: a web server for biomedical entity expansion, ranking and explorations.Nucleic acids research · 2019Article
- Systems Bioinformatics: increasing precision of computational diagnostics and therapeutics through network-based approaches.Briefings in bioinformatics · 2019Review
- Ranking Cancer Proteins by Integrating PPI Network and Protein Expression Profiles.BioMed research international · 2019Article
- MGOGP: a gene module-based heuristic algorithm for cancer-related gene prioritization.BMC bioinformatics · 2018Article
- Chemokine expression in the early response to injury in human airway epithelial cells.PloS one · 2018Article
- A large-scale benchmark of gene prioritization methods.Scientific reports · 2017Article
- GenePANDA-a novel network-based gene prioritizing tool for complex diseases.Scientific reports · 2017Article
- Data sources for in vivo molecular profiling of human phenotypes.Wiley interdisciplinary reviews. Systems biology and medicine · 2016Review
- CLIP-GENE: a web service of the condition specific context-laid integrative analysis for gene prioritization in mouse TF knockout experiments.Biology direct · 2016Article
- Discovering gene re-ranking efficiency and conserved gene-gene relationships derived from gene co-expression network analysis on breast cancer data.Scientific reports · 2016Article
- Lynx: a knowledge base and an analytical workbench for integrative medicine.Nucleic acids research · 2016Article
- A Novel Prioritization Method in Identifying Recurrent Venous Thromboembolism-Related Genes.PloS one · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PINTA (available at http://www.esat.kuleuven.be/pinta/; this web site is free and open to all users and there is no login requirement) is a web resource for the prioritization of candidate genes based on the differential expression of their neighborhood in a genome-wide protein-protein interaction network. Our strategy is meant for biological and medical researchers aiming at identifying novel disease genes using disease specific expression data. PINTA supports both candidate gene prioritization (starting from a user defined set of candidate genes) as well as genome-wide gene prioritization and is available for five species (human, mouse, rat, worm and yeast). As input data, PINTA only requires disease specific expression data, whereas various platforms (e.g. Affymetrix) are supported. As a result, PINTA computes a gene ranking and presents the results as a table that can easily be browsed and downloaded by the user.
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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.