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Hands-on projects in biomedical data science, exploring omics, metabolic (e.g., CGM), and clinical datasets using Python/R, statistics, and machine learning.

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Biomedical Data Science

Hands-on projects using Python, R, and ML to explore omics, CGM, and clinical datasets.

Topics

  • Omics (e.g., gene expression, PCA, clustering)
  • CGM (glucose forecasting, food modeling)
  • Clinical or synthetic health data

Tools

Python · R · Jupyter · Scanpy · scikit-learn · XGBoost · Tidyverse 📘 Blog: How Linear Algebra Illuminates Gene Expression

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Hands-on projects in biomedical data science, exploring omics, metabolic (e.g., CGM), and clinical datasets using Python/R, statistics, and machine learning.

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