keyes-timothy/tidytof: Analyze High-dimensional Cytometry Data Using Tidy Data Principles

This package implements an interactive, scientific analysis pipeline for high-dimensional cytometry data built using tidy data principles. It is specifically designed to play well with both the tidyverse and Bioconductor software ecosystems, with functionality for reading/writing data files, data cleaning, preprocessing, clustering, visualization, modeling, and other quality-of-life functions. tidytof implements a "grammar" of high-dimensional cytometry data analysis.

Getting started

Package details

Bioconductor views FlowCytometry SingleCell
Maintainer
LicenseMIT + file LICENSE
Version0.99.8
URL https://keyes-timothy.github.io/tidytof https://keyes-timothy.github.io/tidytof/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("keyes-timothy/tidytof")
keyes-timothy/tidytof documentation built on Aug. 28, 2024, 8:37 a.m.