◐ Shell
clean mode source ↗

Keyong-bio - Overview

View Keyong-bio's full-sized avatar

Keyong_bio Keyong-bio

  • Leiden, The Netherlands

Block or report Keyong-bio

  • 👋 Hi, I’m @Keyong-bio
  • 👀 I’m interested in Epidemiology and Medical statistical analysis
  • 🌱 I’m currently learning Clinical epidemiology in LUMC, The Netherlands
  • 💞️ I’m looking to collaborate on using multiple cohorts to study the risk factors related with chronic disease, especially focusing on omics data!
  • Currently I am working on 10K data from Weizmann Institute of Science, Rehovot
  • 📫 How to reach me:Email: keyongdeng194@gmail.com or k.deng@lumc.nl

Pinned Loading

  1. This is the repository (code) for the paper titled: "Identification of metabotypes through fasting and postprandial metabolomics: charting a path for personalized nutritional strategies "

    Jupyter Notebook

  2. This is the code repository for the Manuscript: "Pathophysiology-based subtypes of individuals at high-risk of type 2 diabetes: multi-omics profiles and lifestyle differences across subtypes"

    Jupyter Notebook

  3. This repository will update the context discussed in EPI-OMICs-Meeting coordinated by the Department of Clinical Epidemiology, LUMC