Ontology highlight
ABSTRACT:
SUBMITTER: Cheng J
PROVIDER: S-EPMC7262576 | biostudies-literature | 2017 Nov
REPOSITORIES: biostudies-literature
Cheng Jun J Zhang Jie J Han Yatong Y Wang Xusheng X Ye Xiufen X Meng Yuebo Y Parwani Anil A Han Zhi Z Feng Qianjin Q Huang Kun K
Cancer research 20171101 21
In cancer, both histopathologic images and genomic signatures are used for diagnosis, prognosis, and subtyping. However, combining histopathologic images with genomic data for predicting prognosis, as well as the relationships between them, has rarely been explored. In this study, we present an integrative genomics framework for constructing a prognostic model for clear cell renal cell carcinoma. We used patient data from The Cancer Genome Atlas (<i>n</i> = 410), extracting hundreds of cellular ...[more]