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CFAcoop  

Colony Formation Assay: Taking into Account Cellular Cooperation
View on CRAN: Click here


Download and install CFAcoop package within the R console
Install from CRAN:
install.packages("CFAcoop")

Install from Github:
library("remotes")
install_github("cran/CFAcoop")

Install by package version:
library("remotes")
install_version("CFAcoop", "1.0.0")



Attach the package and use:
library("CFAcoop")
Maintained by
Daniel Samaga
[Scholar Profile | Author Map]
First Published: 2020-11-25
Latest Update: 2021-06-11
Description:
Cellular cooperation compromises the plating efficiency-based analysis of clonogenic survival data. This tool provides functions that enable a robust analysis of colony formation assay (CFA) data in presence or absence of cellular cooperation. The implemented method has been described in Brix et al. (2020). (Brix, N., Samaga, D., Hennel, R. et al. "The clonogenic assay: robustness of plating efficiency-based analysis is strongly compromised by cellular cooperation." Radiat Oncol 15, 248 (2020). ) Power regression for parameter estimation, calculation of survival fractions, uncertainty analysis and plotting functions are provided.
How to cite:
Daniel Samaga (2020). CFAcoop: Colony Formation Assay: Taking into Account Cellular Cooperation. R package version 1.0.0, https://cran.r-project.org/web/packages/CFAcoop. Accessed 09 Apr. 2025.
Previous versions and publish date:
0.1.0 (2020-11-25 10:30)
Other packages that cited CFAcoop R package
View CFAcoop citation profile
Other R packages that CFAcoop depends, imports, suggests or enhances
Complete documentation for CFAcoop
Functions, R codes and Examples using the CFAcoop R package
Some associated functions: CFAdata . analyze_survival . calculate_sf . export_sf . plot_sf . pwr_reg . 
Some associated R codes: CFAdata.R . analyze_survival.R . calculate_sf.R . export_sf.R . plot_sf.R . pwr_reg.R .  Full CFAcoop package functions and examples
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