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@bioFAM

bioFAM

Our group develops and applies computational approaches to study molecular variations and their phenotypic consequence. We are part of DKFZ and EMBL.

Popular repositories Loading

  1. MOFA2 MOFA2 Public

    Multi-Omics Factor Analysis

    R 329 56

  2. MOFA MOFA Public

    Multi-Omics Factor Analysis

    R 242 62

  3. mofapy2 mofapy2 Public

    Multi-omics factor analysis v2

    Python 44 27

  4. mofax mofax Public

    Work with trained factor models in Python

    Jupyter Notebook 31 13

  5. slalom slalom Public

    Jupyter Notebook 28 10

  6. FISHFactor FISHFactor Public

    A probabilistic factor model for spatial transcriptomics data with subcellular resolution

    Jupyter Notebook 23

Repositories

Showing 10 of 15 repositories
  • mofaflex Public

    factor models for omics data

    Python 11 BSD-3-Clause 1 3 1 Updated Apr 30, 2025
  • scDoRI Public

    scDoRI (single-cell Deep multi-Omic Regulatory Inference) is a deep learning model to infer enhancer-mediated gene regulatory networks (eGRNs) from single-cell multiome data (RNA + ATAC).

    Python 1 MIT 0 0 3 Updated Apr 15, 2025
  • mofax Public

    Work with trained factor models in Python

    Jupyter Notebook 31 MIT 13 3 6 Updated Oct 22, 2024
  • mofapy2 Public

    Multi-omics factor analysis v2

    Python 44 LGPL-3.0 27 5 0 Updated Oct 21, 2024
  • MOFA2 Public

    Multi-Omics Factor Analysis

    R 329 LGPL-3.0 56 73 4 Updated Jun 29, 2024
  • cellij Public

    Implementation of a Modular Multi-Omics Factor Model Framework

    Python 4 BSD-3-Clause 0 13 3 Updated Oct 19, 2023
  • Jupyter Notebook 2 BSD-3-Clause 0 0 0 Updated Sep 15, 2023
  • MOFAdata Public

    Data for Multi-Omics Factor Analysis (MOFA)

    R 2 2 1 0 Updated Jun 9, 2023
  • FISHFactor Public

    A probabilistic factor model for spatial transcriptomics data with subcellular resolution

    Jupyter Notebook 23 LGPL-3.0 0 0 0 Updated May 3, 2023
  • MOFA2_tutorials Public

    MOFA2 Tutorials

    HTML 5 8 1 1 Updated Feb 8, 2023

People

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