Extracting meaningful health information from large accelerometer datasets

Access share reviewed code & Jupyter Notebooks for use on the UK Biobank (UKBB) Research Application Platform. Includes resources from DNAnexus webinars, online trainings and workshops.

Sample code for ldsc analyses in UKBB

Python Software Development Kit (SDK) to process wearable sensor data

Graph saliency maps through spectral convolutional networks for brain mapping

Tofu is a Python tool for generating synthetic UK Biobank data.

R functions for extracting diagnoses and first diagnosis dates from “Data-Field 41270” and “Data-Field 41280” in the UK Biobank, based on ICD-10 codes.

A tool for identifying patients in UK biobank given the definition of disease phenotypes (icd10, icd9, opcs or cancer histology).

Aid researchers who work on the UKB RAP.

Data management helper code for the UK Biobank.

Command line tool written in c++ for easily extracting light and temperature data from Axivity AX3 accelerometers used in the UKBiobank

snpnet - Efficient Lasso Solver for Large-scale genetic variant data

MultiVariate Polygenic Mixture Model

UK Biobank Tools

Phenotyping algorithms for common biomarkers in primary care EHR for UK Biobank

Python implementation of POPDx - Predictions for unseen, rare, and common labels.

Rapid and accurate multi-phenotype imputation for millions of individuals

Preparatory scripts for BIDS tabular phenotypic data in large neuroimaging datasets.

Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits

Deep learning pipeline to obtain latent representation from images using 2D and 3D diffusion and other autoencoders