RadioGx

RadioGx integrates radio-response data, radio-biological modelling, and comprehensive cell line annotations for hundreds of cancer cell lines to enable standardized radio-genomic analysis.

Key Features:

• RadioSet Class: Enables creation and manipulation of standardized datasets including information about cancer cell lines, radio-response assays, and dose-response indicators.
• Dose-Response Fitting and Plotting: Methods allow fitting and plotting dose-response data using established radio-biological models.
• Quality Control: Included methods validate results from radio-biological modelling.
• Statistical Quantification: Functions for quantifying statistical correlation and calculating area under the curve (AUC) or survival fraction (SF).
• Dose-Response Curve Analysis: Additional functions for fitting and plotting dose response curves.

Scientific Applications:

• Radio-Genomic Analysis: Integrates radio-response data with radio-biological modelling and cell line annotations for cancer cell line research.
• Dose-Response Modelling: Fits and plots dose-response data using established radio-biological models for radiation response characterization.
• Radiation Response Quantification: Calculates AUC and survival fraction metrics to assess cellular response to radiation.

Methodology:

RadioGx uses established radio-biological models for fitting dose-response data, with quality control methods to validate results.