Extracting meaningful health information from large accelerometer datasets
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Updated
Mar 7, 2024 - Python
Extracting meaningful health information from large accelerometer datasets
Graph saliency maps through spectral convolutional networks for brain mapping
Tofu is a Python tool for generating synthetic UK Biobank data.
Python Software Development Kit (SDK) to process Axivity, GENEActiv, and Actigraph files
A tool for identifying patients in UK biobank given the definition of disease phenotypes (icd10, icd9, opcs or cancer histology).
Command line tool written in c++ for easily extracting light and temperature data from Axivity AX3 accelerometers used in the UKBiobank
Data management helper code for the UK Biobank.
Phenotyping algorithms for common biomarkers in primary care EHR for UK Biobank
snpnet - Efficient Lasso Solver for Large-scale genetic variant data
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..
MultiVariate Polygenic Mixture Model
🫀 Code for "Neural network-based integration of polygenic and clinical information: Development and validation of a prediction model for 10 year risk of major adverse cardiac events in the UK Biobank cohort" 🫀
Aid Steno Researchers Who Work on the UKB RAP.
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
Python implementation of POPDx - Predictions for unseen, rare, and common labels.
Explore SNVs associated with any of UK BioBank Phenotypes, results were made publicly available by: http://www.nealelab.is/uk-biobank
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