There are 60 repositories under biostatistics topic.
Explainable Machine Learning in Survival Analysis
Open source bioinformatics and computational biology toolbox written in F#. This is the core package containing type models and parsers/writers.
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!
:green_book:handbook of biostatistic and R
🎯 :closed_book: Targeted Learning in R: A Causal Data Science Handbook
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)
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
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
pMoSS (p-value Model using the Sample Size) is a Python code to model the p-value as an n-dependent function using Monte Carlo cross-validation. Exploits the dependence on the sample size to characterize the differences among groups of large datasets
Geared towards life scientists wanting to be able to understand and use basic statistical and machine learning methods
A Python module intended to make cell segmentation, tracking and subsequent (mostly biophysical) statisticial analysis easy
Genome browser to visualize and analyze genomic data
Biostatistics Guide
Website and blog for the research group of Mark J. van der Laan
locus R package - Large-scale variational inference for variable selection in sparse multiple-response regression
Comparative BA-calculation for the EMA's Average Bioequivalence with Expanding Limits (ABEL)
Bayesian Gene Heritability Analysis from GWAS summary statistics
Thermodynamically Motivated Enrichment Analysis (TMEA) is a new approach to gene set enrichment analysis.
EpiMethEx (Epigenetic Methylation and Expression), a R package to perform a large-scale integrated analysis by cyclic correlation analyses between methylation and gene expression data.
An Intuitive App for Statistical Analysis
Course webpage for UCLA Biostat 212A (Statistical Machine Learning A)
Something about epi methods, biostats, infectious diseases
useR! 2024 Tutorial Slides: Good Software Engineering Practice for R Packages