UnPAC aims to make research on large scale imaging databases more efficient.
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Updated
Nov 13, 2024 - Python
UnPAC aims to make research on large scale imaging databases more efficient.
This repository accompanies our Cell Metabolism manuscript "Plasma protein-based organ-specific aging and mortality models unveil diseases as accelerated aging of organismal systems"
Predict improved fatty liver index (FLI) to reflect liver fat content using regression modelling.
Using Pre-training and Interaction Modeling for ancestry-specific disease prediction using multiomics data from the UK Biobank
Finding of increased Somatomotor-Visual functional connectivity in the UKB longitudinal cohort
KCL Interface to UKB Project Data on Rosalind HPC cluster
An R package to manipulate and explore UK Biobank data
PyTorch implementation for 2.5D U-Net segmentation of UK Biobank neck-to-knee body MRI
Neural Networks for Deep Regression on UK Biobank neck-to-knee body MRI
Prepare electronic medical record data from the UK Biobank for time-to-event analyses
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
A flexible tool for the multi-resolution localization of causal variants across the genome, accounting for population structure.
A python CLI to setup and manage a UKB project directory
3D residual neural network that predicts age based on brain MRI images (implemented using TensorFlow 2).
Omni-supervised domain adversarial training for WM hyperintensity segmentation
Code sets for Electronic Health Record research
ukbREST: efficient and streamlined data access for reproducible research of large biobanks
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