RadSigBench: a framework for benchmarking functional genomics signatures of cancer cell radiosensitivity.

ABSTRACT: Multiple transcriptomic predictors of tumour cell radiosensitivity (RS) have been proposed, but they have not been benchmarked against one another or to control models. To address this, we present RadSigBench, a comprehensive benchmarking framework for RS signatures. The approach compares candidate models to those developed from randomly resampled control signatures and from cellular processes integral to the radiation response. Robust evaluation of signature accuracy, both overall and for individual tissues, is performed. The NCI60 and Cancer Cell Line Encyclopaedia datasets are integrated into our workflow. Prediction of two measures of RS is assessed: survival fraction after 2 Gy and mean inactivation dose. We apply the RadSigBench framework to seven prominent published signatures of ra

SUBMITTER: O'Connor JD 

PROVIDER: S-EPMC8921666 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature