Open source bioinformatics and computational biology toolbox written in F#.
Explainable Machine Learning in Survival Analysis
VerifyBamID2: A robust tool for DNA contamination estimation from sequence reads using ancestry-agnostic method.
SurvSHAP(t): Time-dependent explanations of machine learning survival models
Biostatistics resources : reading list, RMarkdown notebooks, and more!
🎯 📕 Targeted Learning in R: A Causal Data Science Handbook
Group sequential design for clinical trials
A R package and executable for the preprocessing, statistical analysis, and downstream testing and visualization of differentially methylated regions (DMRs) from CpG count matrices (Bismark cytosine reports)
Conquering confounds and covariates: methods, library and guidance
R package for High dimensional data analysis and integration with O2PLS!
A Python package for gene network analysis
R package for fitting joint models to time-to-event data and multivariate longitudinal data
Clinical Trial Simulations
Analysis of simulation studies including Monte Carlo error
Repository that contains all the data, code and manuscript files for a paper that explores the use of GAMs in biomedical research.
R package for fitting joint models to time-to-event and longitudinal data
missing data handing: visualize and impute
The Trendiness of Trends
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