This R package has been written around CFAssay, another R package that can be used for Clonogenic Survival Analysis analysis in R. However, CellSurvAssay has it’s own purposes and advantages:
Purpose
it makes performing Clonogenic Survival Analysis in R ncredibly user-friendly and efficient, even for beginner R users who don't have the luxury of time to dig deeper into R,
it arranges all the commonly used steps of clonogenic assay analysis in one location and automates the data wrangling steps to the extent that only single lines of ode suffice for each step of the analysis,
it utilizes
ggplot
to plot the cell survival curves, and builds better quality figures than other available R packages,it is less time consuming and more convenient for the user, as it accepts the raw data for the analysis and calculates the plating efficiencies by itself, unlike many automated software commonly used,
it offers various method options for parameter estimation and calculating plating efficiencies, unlike most other available software tools, and
as R is being utilized, the methodology stays open and the results reproducible.
Functions in the package
importData
imports the data set in RlqmodelFit
fits the linear quadratic modelplotCSCurve
plots a regular cell survival curveggplotCSCurve
plots the cell survival curves usingggplot()
compareCurves
statistically compares two cell survival curvescalculateDER
calculates the Dose Enhancement Ratio
See also
Please refer to the CFAssay R package for the statistics behind this package.