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
Browse package contents
Package details |
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| Bioconductor views | FlowCytometry SingleCell |
| Maintainer | |
| License | MIT + file LICENSE |
| Version | 0.99.6 |
| URL | https://keyes-timothy.github.io/tidytof https://keyes-timothy.github.io/tidytof/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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