Estimate Stain Index for single stained cytometry files.

Flow cytometry analysis workflow. The aim of this project is to provide an intuitive workflow for the analysis of high-dimensionality cytometry data in R.

A small R package containing useful R functions for cytometry data for internal use.

An implementation of the gap statistic, a method for estimating the number of clusters in a set of data.

Interactive quality analysis for two-dimensional embeddings

Scalable WebGL-based scatter plot library build with Regl

CRAN Task View: Anomaly Detection with R 🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛍️🛒🛒

Interactive shiny app for IMPRINTS.CETSA package, allowing you to analyze IMPRINTS CETSA data.

Model-based Dimensionality Reduction for Single-cell RNA-seq with Generalized Bilinear Models

c060 R package

A collection of pipeline recipes based on Rcwl.

📜 🎉 Automated reporting of objects in R

tests for statistical significance of clustering

An R package to apply Batch Normalization to cytometry

Tool for validating FCS file specification compliance

R/shiny interface for interactive visualization of data in SummarizedExperiment objects

Systematically learn and evaluate manifolds from high-dimensional data

Minimum-distortion embedding with PyTorch

Single cell classification and feature engineering using DREMI scores

A package for clustering high-dimensional cytometry data in Python.

R package for pre-processing of mass and flow cytometry data

Pipe-friendly Framework for Basic Statistical Tests in R

Applied Biostatistics Bookdown project. For Biology undergrads who've taken stats 101

ggplot everything

A computational toolkit in R for the integration, exploration, and analysis of high-dimensional single-cell cytometry and imaging data.