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  • German Cancer Research Center
  • Germany

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Achievement: Pull Shark

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Achievement: Pull Shark

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ferdinand-popp/README.md

👋 Hi, I’m @ferdinand-popp

Currently I’m a prospective PhD candidate at the University of Heidelberg and the German Cancer Research Center. In this account I forked interesting projects to learn and combine them.

Most projects I did are currently private, until they are published or if they contain sensible patient data. Some of my projects are private due to company affiliation, sorry!

Bioinformatic projects (can be requested):

  • Finding a predictive gene signature for relapse risk in AML Patients with machine learning
  • Cancer patient graphs: Extracting knowledge from multi-omics and clinical datasets using effective graph autoencoders
  • Differential Expression Analysis of RNAseq Data & GSEA
  • Evaluating Oxford Nanopore sequencing for engineered AAV capsid sequencing
  • Pharmaceutical Bioinformatics: Bioactivity Prediction for SMILES on protein
  • Multiple ML projects that we teach in the Bioinformatics courses at the university

Popular repositories Loading

  1. ml-seminar-activity ml-seminar-activity Public

    Forked from nicholas-abad/ml-seminar-activity

    Supplementary Exercise to the ML Seminar at Uni HD

    Jupyter Notebook 2

  2. Deepan Deepan Public

    Cluster patient based on their multiomics data utilizing graph autoencoders

    Python 1

  3. MOGCN MOGCN Public

    Placeholder for code of the Master Thesis and Poster Presentation ICSB 2022 Berlin

    Jupyter Notebook 1 1

  4. EMOGI-NSCLC EMOGI-NSCLC Public

    Forked from schulter/EMOGI

    An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.

    Jupyter Notebook 1

  5. coding-interview-university coding-interview-university Public

    Forked from jwasham/coding-interview-university

    A complete computer science study plan to become a software engineer.

  6. build-your-own-x build-your-own-x Public

    Forked from codecrafters-io/build-your-own-x

    🤓 Build your own (insert technology here)