Code for analyses in "Obesity and risk of female reproductive disorders: A Mendelian Randomisation Study"

Code to reproduce analysis and figures for 'Genetic mapping of etiologic brain cell types for obesity' (Timshel, eLife 2020)

🍎 A Reproducible Pipeline for Processing SISVAN Microdata on Nutritional Status Monitoring in Brazil

ObMetrics is a Shiny app developed to facilitate the calculation of outcomes related to Metabolic Syndrome in pediatric populations. This repository contains documentation and licensing details for the application, which aims to provide a user-friendly interface for healthcare professionals and researchers.

📓 Exploring potential associations between childhood undernutrition and the Standardized Precipitation Evapotranspiration Index (SPEI) in Brazilian municipalities (2008–2019)

Analysis of Spatial and Temporal Data Course Final Project - Obesity Classification

Classification of Obesity Status in Indonesia Using XGBoost & ADASYN-N Method

This repository contains the documentation for reproducibility of the study "Preoperative atelectasis in patients with obesity undergoing bariatric surgery: a cross-sectional study".

Unveiling adipose populations linked to metabolic health in obesity

This was my final project for MGSC 310, I utilized R and Rstudio to visualize the data and make simple machine learning models to help predict which factors are most likely to contribute to a diagnosis of Obesity.

Flux Modeling of Mammalian Energy Metabolism

Code for: Grip Strength: Are Some Adiposity Phenotypes More Detrimental Than Others? A Mendelian Randomization Study

Introduction to Data Science Group Assignment: Obesity Risk Assessment Data Product

Discovering the association between children's weight outcomes and the food environment around their homes