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Harmonise GWAS summary statistics against a reference VCF
A list of brain imaging datasets with multiple scans per subject. Feel free to update the list via 'pull requests'!
Methods for estimating time-varying functional connectivity (TVFC)
This repository will host scripts used to map structural and functional brain connectivity matrices for the UK biobank dataset.
topr is a collection of plotting functions for visualizing and exploring genetic association results. Association results from multiple phenotypes can be viewed simultaneously, over the entire geno…
topr is a collection of plotting functions for visualizing and exploring genetic association results. Association results from multiple phenotypes can be viewed simultaneously, over the entire geno…
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.
R package for performing high dimensional multi-trait colocalization analyses using GWAS summary data
Hypothesis Prioritisation in multi-trait Colocalization
Subtype and Stage Inference (SuStaIn) algorithm with an example using simulated data.
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
Adjusting for Autocorrelated Errors in Neural Networks for Time Series
Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️♂️
Lecture notes and python code to replicate models built throughout the course of Richard Mcelreath's 2023 Lecture Series 'Statistical Rethinking'. Relies on pymc
Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework
A platform for building proxies to bypass network restrictions.
Following the Linear Algebra in C++ course at https://www.youtube.com/playlist?list=PL3WoIG-PLjSv9vFx2dg0BqzDZH_6qzF8-
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
Code for "Latent ODEs for Irregularly-Sampled Time Series" paper