MetaCyto
This is the released version of MetaCyto; for the devel version, see MetaCyto.
MetaCyto: A package for meta-analysis of cytometry data
Bioconductor version: Release (3.23)
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("MetaCyto")):
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.
Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("MetaCyto")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("MetaCyto")| Vignette Title | HTML | R Script |
| Reference Manual |
Details
| biocViews | CellBasedAssays, CellBiology, Clustering, FlowCytometry, ImmunoOncology, Preprocessing, Software, StatisticalMethod |
| Version | 1.34.0 |
| In Bioconductor since | BioC 3.6 (R-3.4) (9 years) |
| License | GPL (>= 2) |
| Depends | R (>= 3.4) |
| Imports | flowCore(>= 1.4), tidyr (>= 0.7), fastcluster, ggplot2, metafor, cluster, FlowSOM, grDevices, graphics, stats, utils |
| System Requirements | |
| URL |
See More
| Suggests | knitr, dplyr, rmarkdown |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | MetaCyto_1.34.0.tar.gz |
| Windows Binary (x86_64) | MetaCyto_1.34.0.zip |
| macOS Binary (big-sur-x86_64) | MetaCyto_1.34.0.tgz |
| macOS Binary (sonoma-arm64) | MetaCyto_1.34.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/MetaCyto |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/MetaCyto |
| Bioc Package Browser | https://code.bioconductor.org/browse/MetaCyto/ |
| Package Short Url | https://bioconductor.org/packages/MetaCyto/ |
| Package Downloads Report | Download Stats |