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Copy Number Variation data from non-trasformed human fibroblasts

ABSTRACT: The search for biomarkers to predict radiosensitivity is important not only to individualize radiotherapy of cancer patients but also to forecast radiation exposure risks. The aim of this study was to devise a machine learning method to stratify radiosensitivity and to investigate its association with copy number variations (CNVs) as markers of sensitivity to ionizing radiation. We used the Affymetrix CytoScan HD microarrays to for CNV estimation. Celluar radiosensitivity was measured by the clonogenic surviving fraction at 2 Gy (SF2).

ORGANISM(S): Homo sapiens

PROVIDER: GSE231621 | GEO | 2023/05/08

REPOSITORIES: GEO

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