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  1. ETL Application with R Shiny Visualization.
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    Journal: Stud Health Technol Inform. 2026 May 21;336
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  2. Development and validation of an interpretable machine learning model for predicting medium-to-giant coronary aneurysms in Kawasaki disease.
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    Journal: Front Immunol. 2026;17
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  3. One Function to Rule Them All: An R Shiny Application and R Script for Processing Measurement Data in Microscopic Analysis of Linear Enamel Hypoplasia.
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    Journal: Am J Biol Anthropol. 2026 Apr;189(4)
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  4. Web-Based User Interface for Fam3PRO: A Multigene, Multicancer Risk Prediction Model for Families With Cancer History.
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    Journal: JCO Clin Cancer Inform. 2026 Mar;10
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  5. SMIntegration: A web tool for comprehensive spatial metabolomics and transcriptomics integrated analysis and visualization.
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    Journal: Gigascience. 2026 Jan 21;15
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  6. Evaluating hypothetical interventions effects on hospital-acquired infection outcomes with stacked probability visualization: R Shiny apps based on a multistate modelling approach.
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    Journal: PLoS One. 2026;21(3)
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  7. StaggR: an interactive R/Shiny application for planning and visualizing staggered experimental protocols.
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    Journal: F1000Res. 2025;14
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  8. NetMetaEasy: enabling rapid and user-friendly network meta-analysis (NMA) for comparative effectiveness research.
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    Journal: Br J Pharmacol. 2026 May;183(9)
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  9. The BIOPREVENT machine-learning algorithm predicts chronic graft-versus-host disease and mortality risk using posttransplant biomarkers.
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    Journal: J Clin Invest. 2026 Feb 16;136(4)
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  10. AutoFlow: an interactive Shiny app for supervised and unsupervised flow cytometry analysis.
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    Journal: Bioinformatics. 2026 Feb 28;42(3)
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