Platelet RNA signature independently predicts ovarian cancer prognosis by deep learning neural network model

Author:

Liu Chun-Jie123,Li Hua-Yi12,Gao Yue12,Xie Gui-Yan3ORCID,Chi Jian-Hua12,Li Gui-Ling4,Zeng Shao-Qing12,Xiong Xiao-Ming12,Liu Jia-Hao12,Shi Lin-Li4,Li Xiong5,Cheng Xiao-Dong6,Song Kun7,Ma Ding12,Guo An-Yuan3,Gao Qing-Lei12

Affiliation:

1. Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College , Huazhong University of Science and Technology, Wuhan 430030, China

2. National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital , Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China

3. Center for Artificial Intelligence Biology, Hubei Bioinformatics & Molecular Imaging Key Laboratory, Key Laboratory of Molecular Biophysics of the Ministry of Education , College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China

4. Cancer Center, Union Hospital, Tongji Medical College , Huazhong University of Science and Technology, Wuhan, 430022, China

5. Department of Gynecology and Obstetrics, The Central Hospital of Wuhan, Tongji Medical College , Huazhong University of Science and Technology, Wuhan 430030, China

6. Department of Gynecological Oncology, Women’s Hospital, School of Medicine , Zhejiang University, Hangzhou 310011, China

7. Gynecological Oncology Key Laboratory, Qilu Hospital, Shandong University , Jinan City 250100, China

Publisher

Springer Science and Business Media LLC

Subject

Cell Biology,Drug Discovery,Biochemistry,Biotechnology

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