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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. 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 33 1

  2. novae novae Public

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

    Python 27

  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 19 1

  5. lincs lincs Public

    Learn and Infer Non Compensatory Sortings

    C++ 1 1

Repositories

Showing 10 of 27 repositories
  • Enigmas-Xmas2024 Public

    A series of enigmas for the lab 2024 Xmas event.

    MICS-Lab/Enigmas-Xmas2024’s past year of commit activity
    TeX 0 0 0 0 Updated Dec 21, 2024
  • orra-dm-2024-25 Public

    Practical Work for the Decision Making class at CentraleSupélec

    MICS-Lab/orra-dm-2024-25’s past year of commit activity
    Python 0 0 0 0 Updated Dec 19, 2024
  • novae Public

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

    MICS-Lab/novae’s past year of commit activity
    Python 27 BSD-3-Clause 0 2 0 Updated Dec 17, 2024
  • lincs Public

    Learn and Infer Non Compensatory Sortings

    MICS-Lab/lincs’s past year of commit activity
    C++ 1 LGPL-3.0 1 6 0 Updated Dec 6, 2024
  • 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.

    MICS-Lab/scyan’s past year of commit activity
    Python 33 BSD-3-Clause 1 1 0 Updated Nov 22, 2024
  • learning-heterogeneous-preferences Public Forked from artefactory/learning-heterogeneous-preferences

    Companion repository for the paper "Learning multiple multicriteria additive models from heterogeneous preferences" (ADT 2024).

    MICS-Lab/learning-heterogeneous-preferences’s past year of commit activity
    Python 0 MIT 2 0 0 Updated Oct 2, 2024
  • novae_benchmark Public
    MICS-Lab/novae_benchmark’s past year of commit activity
    Python 1 BSD-3-Clause 0 0 0 Updated Sep 4, 2024
  • PresentationJuin2023PRFD Public

    A small presentation of my PhD project to the MICS lab.

    MICS-Lab/PresentationJuin2023PRFD’s past year of commit activity
    0 0 0 0 Updated Aug 21, 2024
  • s4_digital_pathology Public
    MICS-Lab/s4_digital_pathology’s past year of commit activity
    Python 19 1 2 0 Updated Jul 16, 2024
  • .github Public

    Repo that hosts the organization README.

    MICS-Lab/.github’s past year of commit activity
    0 0 0 0 Updated Jul 12, 2024
View all repositories

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