Bioconductor version: Release (3.13)
This package provides functions for preprocessing, automated gating and meta-analysis of cytometry data. It also provides functions that facilitate the collection of cytometry data from the ImmPort database.
Author: Zicheng Hu, Chethan Jujjavarapu, Sanchita Bhattacharya, Atul J. Butte
Maintainer: Zicheng Hu <zicheng.hu at ucsf.edu>
Citation (from within R,
enter citation("MetaCyto")
):
To install this package, start R (version "4.1") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("MetaCyto")
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("MetaCyto")
HTML | R Script | Vignette Title |
Reference Manual |
biocViews | CellBasedAssays, CellBiology, Clustering, FlowCytometry, ImmunoOncology, Preprocessing, Software, StatisticalMethod |
Version | 1.14.0 |
In Bioconductor since | BioC 3.6 (R-3.4) (4 years) |
License | GPL (>= 2) |
Depends | R (>= 3.4) |
Imports | flowCore(>= 1.4), tidyr (>= 0.7), fastcluster, ggplot2, metafor, cluster, FlowSOM, grDevices, graphics, stats, utils |
LinkingTo | |
Suggests | knitr, dplyr |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | MetaCyto_1.14.0.tar.gz |
Windows Binary | MetaCyto_1.14.0.zip |
macOS 10.13 (High Sierra) | MetaCyto_1.14.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/MetaCyto |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/MetaCyto |
Package Short Url | https://bioconductor.org/packages/MetaCyto/ |
Package Downloads Report | Download Stats |
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