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joewandy/README.md

Hi 👋 I'm Joe.

I work on applying machine learning in computational biology domain, mostly in metabolomics and multi-omics data analysis.

All my work are available on this GitHub. I also published in computational biology and bioinformatics journals journals, as well as presenting in workshops and conferences. I don't do as much of that anymore in the industry, so most of my open-source works can be found in this GitHub profile.

I’m currently working on :

  • Discovering substructures in tandem mass spectrometry data using MS2LDA.
  • Omics data integration framework through GraphOmics and pyMultiOmics.

Other past projects that you may find interesting:

  • Developing novel fragmentation strategies in metabolomics via ViMMS and ViMMS-gym.
  • Bayesian adaptive clinical trial design via pyBasket.

📫 How to reach me: joewandy@gmail.com, or via twitter.

Pinned Loading

  1. vdhooftcompmet/MS2LDA Public

    Unsupervised Substructure Discovery using Topic Modelling with Automated Annotation.

    Jupyter Notebook 5

  2. glasgowcompbio/vimms Public

    A programmable and modular LC/MS simulator in Python

    Python 22 7

  3. glasgowcompbio/GraphOmics Public

    Interactive multi-omics data explorer to integrate and interactively explore transcripts, proteins and metabolites data.

    Jupyter Notebook 13 2

  4. glasgowcompbio/PALS Public

    Ranking metabolite (and other omics sets) by their activity levels via SVD

    Jupyter Notebook 2 1