Giter VIP home page Giter VIP logo

Hi there ๐Ÿ‘‹

I am a PostDoc at the Novo Nordisk Foundation Center for Basic Metabolic Research (NNF CBMR) in Copenhagen.

Nearly all of my work you can find currently under the github of the RasmussenLab.

Currently I'm working a lot on self-supervised deep learning models for MS-based proteomics imputation. See the PIMMS repository and the bioRxiv pre-print. You might also be interested to checkout a comparison based on PIMMS on an Alzheimer dataset: rasmussenlab.org/pimms

Projects

  • 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

Henry Webel's Projects

alphapept icon alphapept

A modular, python-based framework for mass spectrometry. Powered by nbdev.

bert-enhancer icon bert-enhancer

A Transformer Architecture Based on BERT and 2D Convolutional Neural Network to Identify DNA Enhancers from Sequence Information

binn icon binn

Generating biologically informed neural networks

bmtmkl_dream7_thesis icon bmtmkl_dream7_thesis

Analysis, Paper, Presentation for thesis on Variational Inference and Bayesian Multiple Task Multiple Kernel Learning (BMTMKL), applied to predict efficiency of cancer drugs using genetic information of breast cancer cell lines.

cbpp_info icon cbpp_info

Information for starting in the Copenhagen Bioscience PhD Program

ckg icon ckg

Clinical Knowledge Graph (CKG) is a platform with twofold objective: 1) build a graph database with experimental data and data imported from diverse biomedical databases 2) automate knowledge discovery making use of all the information contained in the graph

fastbook icon fastbook

The fastai book, published as Jupyter Notebooks

gcp_ml_engine_talk icon gcp_ml_engine_talk

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

gitsocial icon gitsocial

Add social media icons to your GitHub README files.

innvestigate icon innvestigate

A toolbox to iNNvestigate neural networks' predictions!

intro_dgm icon intro_dgm

"Deep Generative Modeling": Introductory Examples

jekyll-doc-project icon jekyll-doc-project

This repository contains an open-source Jekyll theme for authoring and publishing technical documentation. This theme is used by Appstore/Alexa tech writers and other community members. Most of the theme's files are stored in a Ruby Gem (called jekyll-doc-project).

mrmr icon mrmr

mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.

multiprocessing_bayes_move icon multiprocessing_bayes_move

MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations

nbconvert_md_processing icon nbconvert_md_processing

Postprocessing of markdown files resulting from jupyter nbconvert to be uploaded to github (gists).

pandas icon pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

papermill icon papermill

๐Ÿ“š Parameterize, execute, and analyze notebooks

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.