This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see highthroughputassays.
Bioconductor version: 3.15
The workflow illustrates use of the flow cytometry packages to load, transform and visualize the flow data and gate certain populations in the dataset. The workflow loads the `flowCore`, `flowStats` and `flowWorkspace` packages and its dependencies. It loads the ITN data with 15 samples, each of which includes, in addition to FSC and SSC, 5 fluorescence channels: CD3, CD4, CD8, CD69 and HLADR.
Author: Bioconductor Package Maintainer [aut, cre]
Maintainer: Bioconductor Package Maintainer <maintainer at bioconductor.org>
Citation (from within R,
enter citation("highthroughputassays")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("highthroughputassays")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("highthroughputassays")
HTML | R Script | Using Bioconductor with High Throughput Assays |
biocViews | ImmunoOncologyWorkflow, ProteomicsWorkflow, Workflow |
Version | 1.20.0 |
License | Artistic-2.0 |
Depends | R (>= 3.3.0), flowCore, flowStats, flowWorkspace |
Imports | |
LinkingTo | |
Suggests | knitr, rmarkdown, BiocStyle |
SystemRequirements | |
Enhances | |
URL | https://www.bioconductor.org/help/workflows/highthroughputassays/ |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me |
Follow Installation instructions to use this package in your R session.
Source Package | highthroughputassays_1.20.0.tar.gz |
Windows Binary | |
macOS Binary (x86_64) | |
Source Repository | git clone https://git.bioconductor.org/packages/highthroughputassays |
Source Repository (Developer Access) | git clone [email protected]:packages/highthroughputassays |
Package Short Url | https://bioconductor.org/packages/highthroughputassays/ |
Package Downloads Report | Download Stats |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: