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9 followers · 5 following
  • Berlin

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PascalIversen/README.md

Hi there, I'm Pascal

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  • I’m currently working on uncertainty quantification and explainable AI with applications in biomedicine, e.g. drug response prediction
  • Working on DrEvalPy, a Python library for evaluating drug response models
  • Check out our method to detect sources of uncertainty of ML models: Variance Feature Attribution.
  • 😊 Collaborations welcome!

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  1. daisybio/drevalpy daisybio/drevalpy Public

    DrEval is a toolkit that ensures drug response prediction evaluations are statistically sound, biologically meaningful, and reproducible.

    Python 27 2

  2. DILiS-lab/DroPAU DILiS-lab/DroPAU Public

    Identifying Drivers of Predictive Aleatoric Uncertainty

    Jupyter Notebook 2

  3. LogicGDSCUtils LogicGDSCUtils Public

    Preprocessing for the GDSC Database

    Python

  4. mlmed_ranking mlmed_ranking Public

    Forked from prassepaul/mlmed_ranking

    Code for the paper "Matching Anticancer Compounds and Tumor Cell Lines by Neural Networks with Ranking Loss"

    Python

  5. DILiS-lab/drevalpy-report DILiS-lab/drevalpy-report Public

    HTML 2

  6. gluon-ts gluon-ts Public

    Forked from awslabs/gluonts

    Probabilistic time series modeling in Python

    Python