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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 :

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. glasgowcompbio/pySubstructures glasgowcompbio/pySubstructures Public

    A Python package to perform unsupervised discoveries of motifs from tandem mass spectrometry data.

    Jupyter Notebook 1

  2. glasgowcompbio/pyMultiOmics glasgowcompbio/pyMultiOmics Public

    Python toolbox for multi-omics data mapping and analysis

    Jupyter Notebook 20 5

  3. glasgowcompbio/vimms glasgowcompbio/vimms Public

    A programmable and modular LC/MS simulator in Python

    Python 20 6

  4. glasgowcompbio/ms2ldaviz glasgowcompbio/ms2ldaviz Public

    Substructural discovery in untargeted metabolomics data using LDA topic modelling.

    Jupyter Notebook 11 8

  5. glasgowcompbio/GraphOmics glasgowcompbio/GraphOmics Public

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

    Jupyter Notebook 12 2

  6. glasgowcompbio/PALS glasgowcompbio/PALS Public

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

    Jupyter Notebook 2 1