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

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NIAID Data Ecosystem2026-03-10 收录
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https://data.mendeley.com/datasets/4c5znk5m8t
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资源简介:
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).
创建时间:
2018-12-15
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