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  1. CausalEGM CausalEGM Public

    A General Causal Inference Framework by Encoding Generative Modeling

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    PECA is a software for inferring context specific gene regulatory network from paired gene expression and chromatin accessibility data

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  • CausalEGM Public

    A General Causal Inference Framework by Encoding Generative Modeling

    Python 52 8 2 1 Updated May 16, 2024
  • BayesGM Public

    A Bayesian approach for generative modeling of high-dimensional data

    Python 0 MIT 0 0 0 Updated May 10, 2024
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    Python 21 MIT 6 1 0 Updated Mar 31, 2024
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    cRegulon is an optimization model to identify combinatorial regulon from single cell expression and chromatin accessibility data. Topics Resources Readme

    Python 0 GPL-3.0 0 0 0 Updated Feb 15, 2024
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    Regression with Summary Statistics exploiting Network Topology.

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    Polygenic prediction by leveraging genomic large language models

    Python 0 MIT 0 0 0 Updated Oct 26, 2023
  • PECA Public

    PECA is a software for inferring context specific gene regulatory network from paired gene expression and chromatin accessibility data

    MATLAB 39 6 5 1 Updated Oct 6, 2023
  • Roundtrip Public Forked from kimmo1019/Roundtrip

    Roundtrip: a deep generative neural density estimator

    Python 1 MIT 15 0 0 Updated Apr 12, 2023

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