Ovarian cancer(OC)is one of the most lethal gynecologic cancer worldwide,and survival prediction is meaningful for personalized treatment.^(1)The survival outcome of cancer patients mainly depended on the malignancy o...Ovarian cancer(OC)is one of the most lethal gynecologic cancer worldwide,and survival prediction is meaningful for personalized treatment.^(1)The survival outcome of cancer patients mainly depended on the malignancy of the primary tumor which is tightly linked with the expression profile of the molecular features.^(2)Therefore,in this study,we developed a molecular feature-based survival prediction model of OC using a deep neural network(DNN).展开更多
基金supported by Chongqing Science&Technol-ogy Bureau(China)(No.CSTB2022NSCQ-MSX1413,cstc2019jscx-msxmX0174,cstc2021ycjh-bgzxm0134).
文摘Ovarian cancer(OC)is one of the most lethal gynecologic cancer worldwide,and survival prediction is meaningful for personalized treatment.^(1)The survival outcome of cancer patients mainly depended on the malignancy of the primary tumor which is tightly linked with the expression profile of the molecular features.^(2)Therefore,in this study,we developed a molecular feature-based survival prediction model of OC using a deep neural network(DNN).
