Related Experiment Video
Updated: Jan 19, 2026

A User-friendly and Powerful R Analysis of Large-scale Datasets
Published on: November 4, 2025
Dose response analysis program (DREAP): A user-friendly program for the analyses of radiation-induced biological
Kyung-Nam Lee1, Won-Gyun Jung1
1Division of Heavy Ion Clinical Research, Korean Institute of Radiological and Medical Sciences, 215-4 Gongneung-dong, Nowon-gu, Seoul 139-709, South Korea.
Purpose:
To develop a user-friendly program for biological modeling to analyze radiation-induced responses at the scales of the cell population and organ.
Methods:
The program offers five established cell population surviving fraction (SF) models to estimate the SF and the relative biological effectiveness (RBE) from clonogenic assay data, and two established models to calculate the normal tissue complication probability (NTCP) and tumor control probability (TCP) from radiation treatment plans. Users can also verify the results with multiple types of quantitative analyses and graphical representation tools.
Results:
Users can verify the estimated SF, model parameters, RBE, and the respective uncertainties in the calculations of the SF and RBE modes. The qualities of the treatment plans can also be compared with at most three rival plans in terms of the NTCP, TCP, uncomplicated TCP (UCP), and user-dependent weight-based UCP (UUCP), in the calculation of the NTCP and TCP modes. Based on the validation study on accuracy and speed, the averaged mean relative errors (MREs) of the estimated parameters for all tested cell lines were not higher than 0.3% in each of the studied SF models, and the averaged MREs of the calculated NTCP and TCP for all tested treatment plans were not higher than 0.1%. The computation times for SF, RBE, NTCP, and TCP were less than 1.5 s.
Conclusions:
The dose response analysis program can provide a trustworthy and convenient environment for researchers to analyze radiation-induced biological effects.
Related Concept Videos
10:56A User-friendly and Powerful R Analysis of Large-scale Datasets
06:53Quantification of γH2AX Foci in Response to Ionising Radiation
Biological Effects of Radiation
08:22Studying Copper Nanoparticle-Induced Programmed Cell Death in Bacteria
04:13Computer-based Multitaper Spectrogram Program for Electroencephalographic Data
11:00Reprogramming Mouse Embryonic Fibroblasts with Transcription Factors to Induce a Hemogenic Program

