A simplified, semi-automated high parameter workflow for people who don't know how to code. High dimensional flow cytometry analysis.

A data pipeline built in Nextflow to process spatial and single-cell experiment data for visualisation in WebAtlas

An R package to unmix flow cytometry data

R package that automatically classifies the cells in the scRNA data by segregating non-malignant cells of tumor microenviroment from the malignant cells. It also infers the copy number profile of m…

Rphenograph: R implementation of the PhenoGraph algorithm

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

overview of spatial datasets

Murine version of MCP-counter, a tool to estimate the immune and stromal composition of heterogeneous tissue, from transcriptomic data

Machine Learning Problem Bible | Problem Set Here >>

Generate reproducible html5 slides from R markdown

Machine Learning in R

Inferring, interpreting and visualising trajectories using a streamlined set of packages 🦕

A collection of 50+ trajectory inference methods within a common interface 📥📤

Data package containing high-dimensional cytometry data sets in SummarizedExperiment and flowSet formats

R package for differential discovery analyses in high-dimensional cytometry data

Uniform Manifold Approximation and Projection