Skip to content
View enryH's full-sized avatar
26 followers · 40 following

Achievements

Achievement: StarstruckAchievement: YOLOAchievement: Pull Sharkx3Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: Arctic Code Vault Contributor

Achievements

Achievement: StarstruckAchievement: YOLOAchievement: Pull Sharkx3Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: Arctic Code Vault Contributor

Highlights

  • Pro

Organizations

@RasmussenLab @Proteobench

Block or report enryH

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
enryH/README.md

Hi there 👋

I am a Senior Data Scientist at DTU biosustain (Novo Nordisk Foundation Center for biosustainability) (NNF CBMR) in Copenhagen.

Nearly all of my work you can find currently under the github of DTU biosustain, the Multi-Omics-Analytics-Group (MONA) and the RasmussenLab.

Currently I'm working on metabolomics and phosphoproteomics dataset in the context of engineering cell factories. I also worked on on self-supervised deep learning models for MS-based proteomics imputation. See the PIMMS repository and the Nature Communications paper. You might also be interested to checkout a comparison based on PIMMS on an Alzheimer dataset: rasmussenlab.org/pimms

For an easy comparison of proteomics data and some clincial metadata, have a look at not just another biomarker (njab). You can easily run the example notebook on colab (which is regularly automatically tested to work) and plug-in your data. Having the associated python package will it make it easy to extend the experiments. The code was used in a Nature Medicine paper and a Scientific Reports paper

Other Projects

  • an easy to use notes template
  • lab wesite for technical notes (based on Sphinx, deployed via GitHub)
  • ProteoBench - focus on software parameter file parsing

    ProteoBench is an open and collaborative platform for community-curated benchmarks for proteomics data analysis pipelines. Our goal is to allow a continuous, easy, and controlled comparison of proteomics data analysis workflows.

  • creating and curating a Python package template

Pinned Loading

  1. gcp_ml_engine_talk gcp_ml_engine_talk Public archive

    Introduction to Data Science Processes and how to do this with Google Cloud ML-Engine

    Jupyter Notebook 1

  2. search_enamine_real_db search_enamine_real_db Public

    Search for similar molecules in syntetic molecule database of enamine with roughly 700 Mio. compounds.

    Python 1

  3. statisticalbiotechnology/representative-spectra-benchmark statisticalbiotechnology/representative-spectra-benchmark Public

    Analysis of different consensus spectrum construction methods

    Jupyter Notebook 5 11

  4. llniu/ALD-study llniu/ALD-study Public

    ALD study data analysis

    Jupyter Notebook 13 3

  5. cbpp_info cbpp_info Public archive

    Information for starting in the Copenhagen Bioscience PhD Program

    Ruby 2

  6. snakemake-tutorial snakemake-tutorial Public

    Forked from betatim/vscode-binder

    VS Code on Binder

    Python