biostatistics

197 bioinformatics & life science skills for Claude Code and AI agents — BixBench 92.0% accuracy. RNA-seq, single-cell, drug discovery, proteomics, and more. Powers OmicsHorizon.

Agent Skills for medical research — literature search, reporting-guideline & citation checks, statistics, publication figures, submission. Works with Claude Code, Codex, Cursor & GitHub Copilot. Built by a physician-researcher, tested on real publications. MIT.

Claude Code-powered end-to-end meta-analysis automation: AI-assisted literature review, screening, extraction, analysis, and manuscript generation for systematic reviews and clinical evidence synthesis

Explainable Machine Learning in Survival Analysis

verifyBamID2: A robust tool for DNA contamination estimation from sequence reads using ancestry-agnostic method.

Open source bioinformatics and computational biology toolbox written in F#. This is the core package containing type models and parsers/writers.

SurvSHAP(t): Time-dependent explanations of machine learning survival models

Toolbox for biostatistics and clinical data analysis in R. Developed by the biostatistics team at Laboratorios Sophia S.A. de C.V.

Biostatistics resources : reading list, RMarkdown notebooks, and more!

📗handbook of biostatistic and R

🎯 📕 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

SAS code snippets

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

A Python package for gene network analysis

Clinical Trial Simulations