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πŸ˜‡
Taking a step towards building my future
πŸ˜‡
Taking a step towards building my future

Highlights

  • Pro

Organizations

@FAIRplus @Fraunhofer-ITMP @IMI-COMBINE
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YojanaGadiya/README.md

Hi there, I am Yojana Gadiya πŸ‘‹

Profile Hits

  • πŸ”­ I’m currently working at @Fraunhofer ITMP as a data scientist, @EnvedaBiosciences as a Computational Biologists, and a doctorate researcher at @UniBonn
  • πŸ‘― I'm part of several EU projects: FAIRplus, REMEDi4ALL, AMR Accelerator
  • πŸ€“ I'm also a Chemoinformatics FAIR Data Champion at FAIRsharing.org
  • 🌱 I love developing Python packages. My works include
    • PEMT - a pharmaceutical patent mining tool
    • pyBiodatafuse - a modular query biomedical data ingestion pipeline
  • πŸ’¬ Ask me about: FAIR, Knowledge graphs, Patent mining, Chemoinformatics
  • πŸ“« How to reach me: LinkedIn, X, Google Scholar
  • πŸ˜„ Pronouns: She/her

Expertise preview

Yojana's github stats

GraphQL git Neo4J MySQL AWS
LaTeX Markdown Python R Matplotlib
Pandas Plotly scikit-learn SciPy CodeCov
Docker Selenium GitHub GitLab

Pinned

  1. Fraunhofer-ITMP/PEMT Fraunhofer-ITMP/PEMT Public

    Source code and data files for "PEMT: A patent enrichment tool with applicability in drug discovery"

    Python 12 3

  2. enveda/kgem-ensembles-in-drug-discovery enveda/kgem-ensembles-in-drug-discovery Public

    Source code and data repository for "Ensembles of knowledge graph embedding models improve predictions for drug discovery"

    Jupyter Notebook 19 4

  3. Fraunhofer-ITMP/Pharmaceutical-patent-landscaping Fraunhofer-ITMP/Pharmaceutical-patent-landscaping Public

    Source code and data files for manuscript titled "Pharmaceutical patent landscaping: A novel approach to understand patents from the drug discovery perspective"

    Jupyter Notebook 9 2

  4. enveda/RPath enveda/RPath Public

    Source code and data for "Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery"

    Jupyter Notebook 11 4

  5. enveda/ethnobotany enveda/ethnobotany Public

    Source code and data for "Modern drug discovery using ethnobotany: A large-scale cross-cultural analysis of traditional medicine reveals common therapeutic uses"

    Jupyter Notebook 1 1

  6. Fraunhofer-ITMP/E3_binder_Model Fraunhofer-ITMP/E3_binder_Model Public

    Source code and dataset for paper titled "Pharmacophore-based ML model to predict ligand selectivity for E3 ligase binders"

    R 2