ArticleScientific reports2017
GenePANDA-a novel network-based gene prioritizing tool for complex diseases.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- PONYTA: prioritization of phenotype-related genes from mouse KO events using PU learning on a biological network.Bioinformatics (Oxford, England) · 2024Article
- An atlas of cell-type-specific interactome networks across 44 human tumor types.Genome medicine · 2024Article
- Ranking Plant Network Nodes Based on Their Centrality Measures.Entropy (Basel, Switzerland) · 2023Article
- Self-supervised graph representation learning integrates multiple molecular networks and decodes gene-disease relationships.Patterns (New York, N.Y.) · 2023Article
- Review
- WINNER: A network biology tool for biomolecular characterization and prioritization.Frontiers in big data · 2022Article
- Benchmarking network-based gene prioritization methods for cerebral small vessel disease.Briefings in bioinformatics · 2021Article
- A rectified factor network based biclustering method for detecting cancer-related coding genes and miRNAs, and their interactions.Methods (San Diego, Calif.) · 2019Article
- Molecular Interaction Network Approach (MINA) identifies association of novel candidate disease genes.MethodsX · 2019Article
- Article
- Identifying High-Priority Proteins Across the Human Diseasome Using Semantic Similarity.Journal of proteome research · 2018Article
- Network-Based Approaches to Explore Complex Biological Systems towards Network Medicine.Genes · 2018Review
- Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Here we describe GenePANDA, a novel network-based tool for prioritizing candidate disease genes. GenePANDA assesses whether a gene is likely a candidate disease gene based on its relative distance to known disease genes in a functional association network. A unique feature of GenePANDA is the introduction of adjusted network distance derived by normalizing the raw network distance between two genes with their respective mean raw network distance to all other genes in the network. The use of adjusted network distance significantly improves GenePANDA's performance on prioritizing complex disease genes. GenePANDA achieves superior performance over five previously published algorithms for prioritizing disease genes. Finally, GenePANDA can assist in prioritizing functionally important SNPs identified by GWAS.
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Registered trials
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