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

📗handbook of biostatistic and R

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)

SAS code snippets

Conquering confounds and covariates: methods, library and guidance

A Python package for gene network analysis

R package for High dimensional data analysis and integration with O2PLS!

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