A mathematical descriptor of tumor mesoscopic-structure from computed tomography images annotates prognostic and molecular phenotypes of epithelial ovarian cancer

The clinical, radiomics and proteomics data to reproduce the key findings in 'A mathematical descriptor of tumor mesoscopic-structure from computed tomography images annotates prognostic and molecular phenotypes of epithelial ovarian cancer'.
Radiomics data for both the HH and the TCGA cohort are scaled and centered;
RPV and eRPV (Affymentrix U133) are included in the clinical dataframes;
Normalised, log2 transformed and median centered proteomics data are provided from reverse phase protein array (RPPA).

本数据集包含了临床、放射组学以及蛋白质组学数据，旨在重现《基于计算机断层扫描图像的肿瘤宏观结构数学描述符标注上皮性卵巢癌的预后和分子表型》一文中的关键发现。HH队列和TCGA队列的放射组学数据均进行了归一化和中心化处理；临床数据框架中包含了RPV和eRPV（Affymetrix U133）；此外，还提供了从反向相蛋白阵列（RPPA）获取的标准化、log2转换和中值中心化的蛋白质组学数据。