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@MICS-Lab

MICS-Lab

Research laboratory in Mathematics and Computer Science at CentraleSupélec.
README.md

Welcome to the MICS organization 👋

The MICS is a research laboratory in Mathematics and Computer Science at CentraleSupélec (Paris-Saclay University).

🧬 Biomathematics team:

  • We develop mathematical and computational methods in Deep Learning and/or statistics to help solve major challenges in life sciences and health
  • Many projects, e.g. sopa, are in collaboration with the Gustave Roussy Institute

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  1. novae novae Public

    Graph-based foundation model for spatial transcriptomics data. Zero-shot spatial domain inference, batch-effect correction, and many other features.

    Python 47 2

  2. scyan 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 35 1

  3. CustOmics CustOmics Public

    Forked from HakimBenkirane/CustOmics

    A deep-learning framework for multi-omics integration

    Jupyter Notebook

  4. s4_digital_pathology s4_digital_pathology Public

    Python 21 1

  5. lincs lincs Public

    Learn and Infer Non Compensatory Sortings

    C++ 2 2

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