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@RasmussenLab

RasmussenLab

The Rasmussen group focuses on proteome and genome variation, coding variation and deep learning for integration of genomics, proteomics and clinical data.

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  1. vamb vamb Public

    Variational autoencoder for metagenomic binning

    Python 293 48

  2. MOVE MOVE Public

    MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations

    Jupyter Notebook 79 27

  3. phamb phamb Public

    Downstream processing of VAMB binning for Viral Elucidation

    Python 50 8

  4. pimms pimms Public

    Imputing proteomics data using deep learning models

    Python 22 2

  5. IntroToML IntroToML Public

    Forked from Center-for-Health-Data-Science/IntroToML

    Machine Learning course at Copenhagen University, Faculty of Health and Medical Sciences, Center for Health Data Science

    Jupyter Notebook 4

  6. vCentenarian vCentenarian Public

    Repository with supporting code and information for virome analysis of Centenarian metagenomes

    Python 3 3

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