CellSurvAssay: CellSurvAssay

In PickeringLab/CellSurvAssay: Clonogenic Survival Analysis in R made easy!

CellSurvAssay

Description

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 R

• lqmodelFit fits the linear quadratic model

• plotCSCurve plots a regular cell survival curve

• ggplotCSCurve plots the cell survival curves using ggplot()

• compareCurves statistically compares two cell survival curves

• calculateDER calculates the Dose Enhancement Ratio

See Also

Please refer to the CFAssay R package for the statistics behind this package.

PickeringLab/CellSurvAssay documentation built on June 15, 2022, 12:33 a.m.