ArticleBioinformatics and biology insights2015
DDA: A Novel Network-Based Scoring Method to Identify Disease-Disease Associations.
Article in Bioinformatics and biology insights, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
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- DapBCH: a disease association prediction model Based on Cross-species and Heterogeneous graph embedding.Frontiers in genetics · 2023Article
- Exploring novel disease-disease associations based on multi-view fusion network.Computational and structural biotechnology journal · 2023Article
- Modular networks and genomic variation during progression from stable angina pectoris through ischemic cardiomyopathy to chronic heart failure.Molecular medicine (Cambridge, Mass.) · 2022Article
- GediNET for discovering gene associations across diseases using knowledge based machine learning approach.Scientific reports · 2022Article
- Multi-Level Biological Network Analysis and Drug Repurposing Based on Leukocyte Transcriptomics in Severe COVID-19: In Silico Systems Biology to Precision Medicine.Journal of personalized medicine · 2022Article
- Immune-Related Protein Interaction Network in Severe COVID-19 Patients toward the Identification of Key Proteins and Drug Repurposing.Biomolecules · 2022Article
- MCRWR: a new method to measure the similarity of documents based on semantic network.BMC bioinformatics · 2022Article
- Heterogeneous network propagation with forward similarity integration to enhance drug-target association prediction.PeerJ. Computer science · 2022Article
- SicknessMiner: a deep-learning-driven text-mining tool to abridge disease-disease associations.BMC bioinformatics · 2021Article
- Hybrid Deep Learning Based on a Heterogeneous Network Profile for Functional Annotations ofInternational journal of molecular sciences · 2021Article
- Prediction of Human-Bioinformatics and biology insights · 2021Article
- Statistical Physics for Medical Diagnostics: Learning, Inference, and Optimization Algorithms.Diagnostics (Basel, Switzerland) · 2020Article
- The multiplex network of human diseases.NPJ systems biology and applications · 2019Article
- Capturing functional long non-coding RNAs through integrating large-scale causal relations from gene perturbation experiments.EBioMedicine · 2018Article
- Disease Risk Assessment Using a Voronoi-Based Network Analysis of Genes and Variants Scores.Frontiers in genetics · 2017Article
- Mechanism-based disease similarity.Journal of rare diseases research & treatment · 2016Article
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2 authors.
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Abstract
Categorizing human diseases provides higher efficiency and accuracy for disease diagnosis, prognosis, and treatment. Disease-disease association (DDA) is a precious information that indicates the large-scale structure of complex relationships of diseases. However, the number of known and reliable associations is very small. Therefore, identification of DDAs is a challenging task in systems biology and medicine. Here, we developed a novel network-based scoring algorithm called DDA to identify the relationships between diseases in a large-scale study. Our method is developed based on a random walk prioritization in a protein-protein interaction network. This approach considers not only whether two diseases directly share associated genes but also the statistical relationships between two different diseases using known disease-related genes. Predicted associations were validated by known DDAs from a database and literature supports. The method yielded a good performance with an area under the curve of 71% and outperformed other standard association indices. Furthermore, novel DDAs and relationships among diseases from the clusters analysis were reported. This method is efficient to identify disease-disease relationships on an interaction network and can also be generalized to other association studies to further enhance knowledge in medical studies.
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