CFAssay
This is the development version of CFAssay; for the stable release version, see CFAssay.
Statistical analysis for the Colony Formation Assay
Bioconductor version: Development (3.21)
The package provides functions for calculation of linear-quadratic cell survival curves and for ANOVA of experimental 2-way designs along with the colony formation assay.
Author: Herbert Braselmann
Maintainer: Herbert Braselmann <hbraselmann at online.de>
Citation (from within R, enter
citation("CFAssay")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("CFAssay")
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("CFAssay")| CFAssay | R Script | |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | CellBasedAssays, CellBiology, ImmunoOncology, Regression, Software, Survival |
| Version | 1.41.0 |
| In Bioconductor since | BioC 3.0 (R-3.1) (10 years) |
| License | LGPL |
| Depends | R (>= 2.10.0) |
| Imports | |
| System Requirements | |
| URL |
See More
| Suggests | |
| 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 | CFAssay_1.41.0.tar.gz |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/CFAssay |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/CFAssay |
| Bioc Package Browser | https://code.bioconductor.org/browse/CFAssay/ |
| Package Short Url | https://bioconductor.org/packages/CFAssay/ |
| Package Downloads Report | Download Stats |