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pcastellanoescuder/README.md

I'm a bioinformatician at Duke University. My research focuses on developing machine learning and AI algorithms to accelerate science. My work aims to bridge data with discovery, making a tangible impact in understanding life’s molecular unknowns.

  • 💡 Building HEUREKA!
  • 💬 R, Python
  • 🤖 LLMs, RAG, Agents, DNNs

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  1. POMA POMA Public

    📦 Tools for Omics Data Analysis

    R 10 5

  2. POMAShiny POMAShiny Public

    🍎 Web-based User-friendly Workflow for Metabolomics and Proteomics Data Analysis

    R 16 5

  3. FoodBiomarkerOntology FoodBiomarkerOntology Public

    🚀 Food-Biomarker Ontology defines the relationships between foods and their associated metabolites (biomarkers) through a formal ontology

    Python 16 4

  4. POMAcounts POMAcounts Public

    🍎 Web-based Application for Exploratory and Statistical Analysis of Mass Spectrometry Spectral Counts Data

    R 1

  5. heurekalabsco/ddh heurekalabsco/ddh Public

    package containing raw functions to support the ddh app

    R 1

  6. heurekalabsco/ddh_app heurekalabsco/ddh_app Public

    HTML 1 1