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@suinleelab

Lee Lab @ UW Allen School

Explainable AI for Biology and Precision Medicine

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  1. path_explain path_explain Public

    A repository for explaining feature attributions and feature interactions in deep neural networks.

    Jupyter Notebook 187 29

  2. treeexplainer-study treeexplainer-study Public

    Code and documentation for experiments in the TreeExplainer paper

    HTML 183 46

  3. attributionpriors attributionpriors Public

    Tools for training explainable models using attribution priors.

    Jupyter Notebook 123 8

  4. MONET MONET Public

    Transparent medical image AI via an image–text foundation model grounded in medical literature

    Python 64 4

  5. contrastiveVI contrastiveVI Public

    Python 53 1

  6. vit-shapley vit-shapley Public

    Python 31 6

Repositories

Showing 10 of 37 repositories
  • methylVI-reproducibility Public

    Code to reproduce results from "Probabilistic modeling of single-cell bisulfite sequencing data with MethylVI"

    Jupyter Notebook 0 0 0 0 Updated Jan 11, 2025
  • deepprofile-study Public

    Code for paper "A deep profile of gene expression across 18 human cancers"

    Jupyter Notebook 20 MIT 2 3 0 Updated Dec 6, 2024
  • MONET Public

    Transparent medical image AI via an image–text foundation model grounded in medical literature

    Python 64 4 5 0 Updated Dec 3, 2024
  • CFS Public

    Implementation of contrastive feature selection

    Python 3 0 0 0 Updated Jul 30, 2024
  • vit-shapley Public
    Python 31 6 8 1 Updated Jul 19, 2024
  • methylVI Public

    A deep generative model for single-cell methylation data

    Python 4 2 0 0 Updated Apr 22, 2024
  • contrastiveVI Public
    Python 53 BSD-3-Clause 1 5 0 Updated Apr 5, 2024
  • deepprofile-data Public

    Data for "A deep profile of gene expression across 18 human cancers"

    0 MIT 0 0 0 Updated Mar 15, 2024
  • 0 0 0 0 Updated Oct 27, 2023
  • StrastiveVI Public
    Python 0 BSD-3-Clause 0 1 0 Updated Oct 16, 2023