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quentinblampey/README.md

Hi, I'm Quentin 👋

PhD student at the MICS Laboratory (Paris-Saclay University) and the Gustave Roussy Institute

I'm developing deep learning tools on multi-omics data for precision medicine in oncology. I have a particular focus on spatial omics data with single-cell resolution.

Main packages

Pinned

  1. gustaveroussy/sopa gustaveroussy/sopa Public

    Technology-invariant pipeline for spatial-omics analysis (Xenium / MERSCOPE / CosMx / PhenoCycler / MACSima / Hyperion) that scales to millions of cells

    Python 65 5

  2. MICS-Lab/scyan MICS-Lab/scyan Public

    Biology-driven deep generative model for cell-type annotation in cytometry. Scyan is an interpretable model that also corrects batch-effect and can be used for debarcoding or population discovery.

    Python 30 1

  3. spatialdata_xenium_explorer spatialdata_xenium_explorer Public

    Converting any SpatialData object into files that can be open by the Xenium Explorer

    Python 9