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

Author: Chun-Jie LIU ¹ ; Hua-Yi LI ¹ ; Yue GAO ¹ ; Gui-Yan XIE ² ; Jian-Hua CHI ¹ ; Gui-Ling LI ³ ; Shao-Qing ZENG ¹ ; Xiao-Ming XIONG ¹ ; Jia-Hao LIU ¹ ; Lin-Li SHI ³ ; Xiong LI ⁴ ; Xiao-Dong CHENG ⁵ ; Kun SONG ⁶ ; Ding MA ¹ ; An-Yuan GUO ² ; Qing-Lei GAO ¹
Author Information

1. Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
2. 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.
3. Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
4. Department of Gynecology and Obstetrics, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
5. Department of Gynecological Oncology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310011, China.
6. Gynecological Oncology Key Laboratory, Qilu Hospital, Shandong University, Jinan 250100, China.
Publication Type:Research Support, Non-U.S. Gov't
MeSH: Humans; Female; Deep Learning; Ovarian Neoplasms/genetics*; Carcinoma, Ovarian Epithelial/genetics*; Neural Networks, Computer; RNA
From: Protein & Cell 2023;14(8):618-622
CountryChina
Language:English