Extracting meaningful health information from large accelerometer datasets
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Updated
Nov 10, 2024 - 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
Phenotyping algorithms for common biomarkers in primary care EHR for UK Biobank
snpnet - Efficient Lasso Solver for Large-scale genetic variant data
Python Software Development Kit (SDK) to process wearable sensor data
A tool for identifying patients in UK biobank given the definition of disease phenotypes (icd10, icd9, opcs or cancer histology).
🫀 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" 🫀
Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits
Data management helper code for the UK Biobank.
Python implementation of POPDx - Predictions for unseen, rare, and common labels.
Tools for preprocessing, QC, and preliminary analyses from raw UK BioBank data
Aid Steno Researchers Who Work on the UKB RAP.
Preparatory scripts for BIDS tabular phenotypic data in large neuroimaging datasets.
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.
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