Extracting meaningful health information from large accelerometer datasets
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Updated
Jul 13, 2025 - Python
Extracting meaningful health information from large accelerometer datasets
Tofu is a Python tool for generating synthetic UK Biobank data.
Graph saliency maps through spectral convolutional networks for brain mapping
Python Software Development Kit (SDK) to process wearable sensor data
Phenotyping algorithms for common biomarkers in primary care EHR for UK Biobank
A tool for identifying patients in UK biobank given the definition of disease phenotypes (icd10, icd9, opcs or cancer histology).
snpnet - Efficient Lasso Solver for Large-scale genetic variant data
Python implementation of POPDx - Predictions for unseen, rare, and common labels.
Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits
Data management helper code for the UK Biobank.
Preparatory scripts for BIDS tabular phenotypic data in large neuroimaging datasets.
Aid researchers who work on the UKB RAP.
MultiVariate Polygenic Mixture Model
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..
A PBWT-based light index for UK Biobank scale genotype data.
Substitution of red meat with legumes and risk of primary liver cancer in UK Biobank participants: A prospective cohort study
Rapid and accurate multi-phenotype imputation for millions of individuals
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