ArticleBiomedicines2025
DeepWalk-Based Graph Embeddings for miRNA-Disease Association Prediction Using Deep Neural Network.
Article in Biomedicines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- HybridGNN: a graph neural network approach for human miRNA-disease association prediction.Bioinformatics (Oxford, England) · 2026Article
- Development of a risk prediction model for second primary thyroid cancer in female breast cancer patients based on machine learning algorithms.Scientific reports · 2026Article
- LMO7-mediated ubiquitination of SIRT3 promotes osteoarthritis progression: an investigation using machine learning and molecular dynamics simulations.BMC biology · 2026Article
- Topology constrained nonnegative matrix factorization for time varying omic expression.Scientific reports · 2026Article
- Ontology-driven association rule mining for biomedical entity relationships: integrating hierarchical knowledge to improve gene-disease discovery.Scientific reports · 2026Article
- A machine learning model for the early prediction of Gram-negative bloodstream infection in ICU patients.BMC medical informatics and decision making · 2026Article
- Interpretable machine-learning prediction of PSEN1 missense variant pathogenicity based on multi-omics enrichment in six core Alzheimer's disease genes.Alzheimer's research & therapy · 2026Article
- From biogenesis to deep modeling: a holistic review of miRNA-disease prediction computational methods with experimental comparison.Briefings in bioinformatics · 2026Review
- Prioritizing missense mutations via a deep learning phosphorylation prediction model.Human genomics · 2025Article
- Integrated machine learning and causal inference reveal CHRDL1 as a diagnostic and functional biomarker in NSCLC.Discover oncology · 2025Article
- Refining cancer prediction with DNA sequencing and combined machine learning approaches.Scientific reports · 2025Article
- A lightweight single-view contrastive learning hypergraph neural network for food-microbe-disease association prediction.BMC bioinformatics · 2025Article
- Decoding potential lncRNA and disease associations through graph representation learning and gradient boosting with histogram.Scientific reports · 2025Article
- A new approach for microbe-disease association prediction: incorporating representation learning of latent relationships.BMC medical informatics and decision making · 2025Article
- A densely connected framework for cancer subtype classification.BMC bioinformatics · 2025Article
- iHofman: a predictive model integrating high-order and low-order features with weighted attention mechanisms for circRNA-miRNA interactions.BMC biology · 2025Article
- Breast cancer homologous recombination deficiency prediction from pathological images with a sufficient and representative Transformer.NPJ precision oncology · 2025Article
- Neighborhood-Regularized Matrix Factorization for lncRNA-Disease Association Identification.International journal of molecular sciences · 2025Article
Corrections and comments
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Authors and funding
1 author.
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Abstract
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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.