Works matching IS 1756-0381 AND VI 18 AND IP 1 AND DT 2025
Results: 21
Unsupervised clustering based coronary artery segmentation.
- Published in:
- BioData Mining, 2025, v. 18, n. 1, p. 1, doi. 10.1186/s13040-025-00435-y
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- Article
EnSCAN: ENsemble Scoring for prioritizing CAusative variaNts across multiplatform GWASs for late-onset alzheimer's disease.
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- BioData Mining, 2025, v. 18, n. 1, p. 1, doi. 10.1186/s13040-025-00436-x
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- Article
Analysis of global trends and hotspots of skin microbiome in acne: a bibliometric perspective.
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- BioData Mining, 2025, v. 18, n. 1, p. 1, doi. 10.1186/s13040-025-00433-0
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- Article
Inferring protein from transcript abundances using convolutional neural networks.
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- BioData Mining, 2025, v. 18, n. 1, p. 1, doi. 10.1186/s13040-025-00434-z
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- Article
AI as an accelerator for defining new problems that transcends boundaries.
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- BioData Mining, 2025, v. 18, n. 1, p. 1, doi. 10.1186/s13040-025-00429-w
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- Article
Machine learning models for reinjury risk prediction using cardiopulmonary exercise testing (CPET) data: optimizing athlete recovery.
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- BioData Mining, 2025, v. 18, n. 1, p. 1, doi. 10.1186/s13040-025-00431-2
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- Article
Feature graphs for interpretable unsupervised tree ensembles: centrality, interaction, and application in disease subtyping.
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- BioData Mining, 2025, v. 18, n. 1, p. 1, doi. 10.1186/s13040-025-00430-3
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- Article
Agenda setting for health equity assessment through the lenses of social determinants of health using machine learning approach: a framework and preliminary pilot study.
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- BioData Mining, 2025, v. 18, n. 1, p. 1, doi. 10.1186/s13040-025-00428-x
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- Article
Immune cell profiles and predictive modeling in osteoporotic vertebral fractures using XGBoost machine learning algorithms.
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- BioData Mining, 2025, v. 18, n. 1, p. 1, doi. 10.1186/s13040-025-00427-y
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- Article
XGBoost-enhanced ensemble model using discriminative hybrid features for the prediction of sumoylation sites.
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- BioData Mining, 2025, v. 18, n. 1, p. 1, doi. 10.1186/s13040-024-00415-8
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- Article
A deep learning approach for classifying and predicting children's nutritional status in Ethiopia using LSTM-FC neural networks.
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- BioData Mining, 2025, v. 18, n. 1, p. 1, doi. 10.1186/s13040-025-00425-0
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- Article
MiCML: a causal machine learning cloud platform for the analysis of treatment effects using microbiome profiles.
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- BioData Mining, 2025, v. 18, n. 1, p. 1, doi. 10.1186/s13040-025-00422-3
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- Article
A generative deep neural network for pan-digestive tract cancer survival analysis.
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- BioData Mining, 2025, v. 18, n. 1, p. 1, doi. 10.1186/s13040-025-00426-z
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- Publication type:
- Article
Motif clustering and digital biomarker extraction for free-living physical activity analysis.
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- BioData Mining, 2025, v. 18, n. 1, p. 1, doi. 10.1186/s13040-025-00424-1
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- Article
An ensemble machine learning-based performance evaluation identifies top In-Silico pathogenicity prediction methods that best classify driver mutations in cancer.
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- BioData Mining, 2025, v. 18, n. 1, p. 1, doi. 10.1186/s13040-024-00420-x
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- Article
Correction: Predictive modeling of ALS progression: an XGBoost approach using clinical features.
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- 2025
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- Correction Notice
Enriched phenotypes in rare variant carriers suggest pathogenic mechanisms in rare disease patients.
- Published in:
- BioData Mining, 2025, v. 18, n. 1, p. 1, doi. 10.1186/s13040-024-00418-5
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- Article
MultiChem: predicting chemical properties using multi-view graph attention network.
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- BioData Mining, 2025, v. 18, n. 1, p. 1, doi. 10.1186/s13040-024-00419-4
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- Article
Genome-wide association studies are enriched for interacting genes.
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- BioData Mining, 2025, v. 18, n. 1, p. 1, doi. 10.1186/s13040-024-00421-w
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- Article
The Venus score for the assessment of the quality and trustworthiness of biomedical datasets.
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- BioData Mining, 2025, v. 18, n. 1, p. 1, doi. 10.1186/s13040-024-00412-x
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- Article
Open challenges and opportunities in federated foundation models towards biomedical healthcare.
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- BioData Mining, 2025, v. 18, n. 1, p. 1, doi. 10.1186/s13040-024-00414-9
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- Article