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

SAS code snippets

Conquering confounds and covariates: methods, library and guidance

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)

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

Analysis of simulation studies including Monte Carlo error

Clinical Trial Simulations

Repository that contains all the data, code and manuscript files for a paper that explores the use of GAMs in biomedical research.

missing data handing: visualize and impute

R package for fitting joint models to time-to-event and longitudinal data

The Trendiness of Trends