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  • University of Cambridge
  • Cambridge, United Kingdom
  • X @sionakidis

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sionaris/README.md

Hi there!

  • 👋 I’m Aris, a postdoctoral Research Associate in Machine Learning at the University of Cambridge.

  • 👀 I’m using statistical and machine learning methodologies to analyse multimodal cancer data integratively.

  • 📝 Here is my CV

  • 🌐 Here is my profile in other media:

  • Recent work:

  • If you came here by mistake, here is something that will make it worth your time: Surprise

Popular repositories Loading

  1. MultiOmicsSurvey MultiOmicsSurvey Public

    A comprehensive survey on computational methods used for multi-omic analysis in cancer.

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  2. bc_ml_pub bc_ml_pub Public

    Machine learning in breast cancer neoadjuvant treatment response prediction.

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  3. sionaris sionaris Public

    Config files for my GitHub profile.

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  4. Shiny_bc_paper Shiny_bc_paper Public

    A repository that contains all the code for the interactive Shiny app of the models developed in our work on predicting response to neoadjuvant treatment.

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  5. deploying-a-static-site-with-netlify-sample deploying-a-static-site-with-netlify-sample Public

    Forked from Codecademy/deploying-a-static-site-with-netlify-sample

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  6. mel_steap3_erythro mel_steap3_erythro Public

    MEL erythroid maturation analysis

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