An R package to manipulate and explore UK Biobank data
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Updated
Feb 22, 2023 - HTML
An R package to manipulate and explore UK Biobank data
3D residual neural network that predicts age based on brain MRI images (implemented using TensorFlow 2).
As a part of COVID-19 Host Genetics Initiative, we perform the following set of analyses to better understand the genetic basis of COVID-19 susceptibility and severity.
ukbREST: efficient and streamlined data access for reproducible research of large biobanks
Functions to map between ICD-10 terms and PheCodes for UK Biobank hospital electronic health records
Prepare UK Biobank Electronic Health Record data for research
Use R to generate a database containing the UK Biobank data schemas from http://biobank.ctsu.ox.ac.uk/crystal/schema.cgi
PyTorch implementation for 2.5D U-Net segmentation of UK Biobank neck-to-knee body MRI
A flexible tool for the multi-resolution localization of causal variants across the genome, accounting for population structure.
Prepare electronic medical record data from the UK Biobank for time-to-event analyses
KCL Interface to UKB Project Data on Rosalind HPC cluster
This repository accompanies our Cell Metabolism manuscript "Plasma protein-based organ-specific aging and mortality models unveil diseases as accelerated aging of organismal systems"
Create binary traits for UKbio using ICD/OPER/medication/self reports/age of diagnosis/visit-dates etc). The current output includes variables on history, study visit, future, time-to-first-event, episode-duration. this is a starting point to construct your favorite trait in ukb. The code was written on the go, so not super clean code..
Neural Networks for Deep Regression on UK Biobank neck-to-knee body MRI
A python CLI to setup and manage a UKB project directory
Code sets for Electronic Health Record research
R toolkit for UK Biobank data analysis - field parsing, ICD processing, and clinical variable extraction
(Shiny App) Interactive Olink Proteomics Explorer for UK Biobank. Features triangulation of 3,000+ protein-trait associations with genetic variants (PNPLA3/TM6SF2) and transcriptomic filtering (GTEx & scRNA-seq) for liver disease research.
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