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1
A deep learning approach for classifying and predicting children's nutritional status in Ethiopia using LSTM-FC neural networks
Published 2025-01-01“…BioData Mining…”
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2
Immune cell profiles and predictive modeling in osteoporotic vertebral fractures using XGBoost machine learning algorithms
Published 2025-02-01“…BioData Mining…”
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3
An ensemble machine learning-based performance evaluation identifies top In-Silico pathogenicity prediction methods that best classify driver mutations in cancer
Published 2025-01-01“…BioData Mining…”
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4
MultiChem: predicting chemical properties using multi-view graph attention network
Published 2025-01-01“…BioData Mining…”
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5
Correction: Predictive modeling of ALS progression: an XGBoost approach using clinical features
Published 2025-01-01“…BioData Mining…”
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6
Enriched phenotypes in rare variant carriers suggest pathogenic mechanisms in rare disease patients
Published 2025-01-01“…BioData Mining…”
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7
XGBoost-enhanced ensemble model using discriminative hybrid features for the prediction of sumoylation sites
Published 2025-02-01“…BioData Mining…”
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8
Genome-wide association studies are enriched for interacting genes
Published 2025-01-01“…BioData Mining…”
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9
A generative deep neural network for pan-digestive tract cancer survival analysis
Published 2025-01-01“…BioData Mining…”
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10
Predictive modeling of ALS progression: an XGBoost approach using clinical features
Published 2024-12-01“…BioData Mining…”
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11
MiCML: a causal machine learning cloud platform for the analysis of treatment effects using microbiome profiles
Published 2025-01-01“…BioData Mining…”
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