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tidytof

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

This is the development version of tidytof; for the stable release version, see tidytof.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20

Analyze High-dimensional Cytometry Data Using Tidy Data Principles


Bioconductor version: Development (3.24)

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.

Author: Timothy Keyes [cre] ORCID iD ORCID: 0000-0003-0423-9679 , Kara Davis [rth, own], Garry Nolan [rth, own]

Maintainer: Timothy Keyes <tkeyes at stanford.edu>

Citation (from within R, enter citation("tidytof")):

Timothy Keyes, Kara Davis, Garry Nolan. tidytof: Analyze High-dimensional Cytometry Data Using Tidy Data Principles. doi:10.18129/B9.bioc.tidytof, R package version 1.7.0, https://bioconductor.org/packages/tidytof.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("tidytof")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

No vignettes available
Reference ManualPDF

Details

biocViews FlowCytometry, SingleCell, Software
Version1.7.0
In Bioconductor sinceBioC 3.20 (R-4.4) (2 years)
License MIT + file LICENSE
Depends R (>= 4.3)
Imports doParallel, dplyr, flowCore, foreach, ggplot2, ggraph, glmnet, methods, parallel, purrr, readr, recipes, rlang, stringr, survival, tidygraph, tidyr, tidyselect, yardstick, Rcpp, tibble, stats, utils, RcppHNSW
System Requirements
URLhttps://keyes-timothy.github.io/tidytof https://keyes-timothy.github.io/tidytof/
Bug Reportshttps://github.com/keyes-timothy/tidytof/issues
See More
Suggests ConsensusClusterPlus, Biobase, broom, covr, diffcyt, emdist, FlowSOM, forcats, ggrepel, HDCytoData, knitr, markdown, philentropy, rmarkdown, Rtsne, statmod, SummarizedExperiment, testthat (>= 3.0.0), lmerTest, lme4, ggridges, spelling, scattermore, preprocessCore, SingleCellExperiment, Seurat, SeuratObject, embed, rsample, BiocGenerics
Linking To Rcpp
Enhances
Depends On Me
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Source Repositorygit clone https://git.bioconductor.org/packages/tidytof
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/tidytof
Package Short Url https://bioconductor.org/packages/tidytof/
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