ArticleBiomedicines2025
Graph Convolutional Network with Neural Collaborative Filtering for Predicting miRNA-Disease Association.
Article in Biomedicines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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.
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Who cites it
22 citing papers in PubMed.
- CDELDA: A Content-Based Dual-Encoder for Cold-Start lncRNA-Disease Association Prediction.Biomedicines · 2026Article
- HNRM: hyperedge neighborhood-based representation for predicting N6-methyladenosine-related regulatory pathways.BMC biology · 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
- 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
- Diagnosis of Alzheimer's disease with high accuracy via Petri net modeling of signaling pathways.Scientific reports · 2026Article
- Uncovering miRNA-Disease Associations Through Graph Based Neural Network Representations.Biomedicines · 2026Article
- Network Analysis to Identify MicroRNAs Involved in Alzheimer's Disease and to Improve Drug Prioritization.Biomedicines · 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
- Prioritizing missense mutations via a deep learning phosphorylation prediction model.Human genomics · 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
- MambaCAttnGCN+: a comprehensive framework integrating MambaTextCNN, cross-attention and graph convolution network for piRNA-disease association prediction.Scientific reports · 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.