Lists (7)
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Appendix to the paper "Developing clinical prediction models: a step-by-step practical guide with examples in R"
Create a PheWAS code based phenome using ICD9 and ICD10 data from baskets of the UK biobank
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 curated list for preprocessing, cleaning, mapping and analyzing UK Biobank data.
❗ This is a read-only mirror of the CRAN R package repository. rcssci — Visualization of Restricted Cubic Splines Report bugs for this package: https://github.com/popnie/RCSsci/issues
Explaining the output of machine learning models with more accurately estimated Shapley values
An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.
Implements the American Heart Association (AHA) Predicting Risk of cardiovascular disease EVENTs (PREVENT) equations, with optional comparison with both the original Pooled Cohort Equations (PCEs) …
Book about interpretable machine learning
An R package implementing the UMAP dimensionality reduction method.
UMAP projection of Gower distances in Pokemon dataset
An R package for creating publication-ready forest plots.
treeWAS: A Phylogenetic Tree-Based Tool for Genome-Wide Association Studies in Microbes
PHESANT - PHEnome Scan ANalysis Tool (pheWAS, Mendelian randomisation (MR)-pheWAS etc.) in UK Biobank
Phenome Exome Association and Correlation Of Key phenotypes
Data analysis scripts for "Atlas of plasma NMR biomarkers for health and disease in 118,461 individuals from the UK Biobank".
An R package to create forestplots of measures of effects with their confidence intervals.
Tools for processing Nightingale NMR biomarker data in UK Biobank