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).用于复现《基于计算机断层扫描图像的肿瘤介观结构数学描述符可标注上皮性卵巢癌的预后与分子表型》一文关键研究结果的临床、放射组学（Radiomics）与蛋白质组学数据集。HH队列与TCGA队列的放射组学数据均经过缩放标准化与中心化处理；临床数据框中包含RPV与eRPV（基于Affymetrix U133芯片平台）数据；本数据集提供了来自反相蛋白质阵列（reverse phase protein array, RPPA）的归一化、log2转换及中位数中心化处理后的蛋白质组学数据。