Deep-learning-enabled multi-omics analyses for prediction of future metastasis in cancer
Article Details
Authors (24)
Xiaoying Wang
Maoteng Duan
Anthony J. Snyder
Po-Lan Su
Jianying Li
Pelotonia Institute for Immuno-oncology, Comprehensive Cancer Center - James Cancer Hospital and Solove Research Institute, College of Medicine, The Ohio State University
Jordan Krull
Jiacheng Jin
Pelotonia Institute for Immuno-oncology, Comprehensive Cancer Center - James Cancer Hospital and Solove Research Institute, College of Medicine, The Ohio State University
Yang Xu
Yuhan Sun
Center of Low-Carbon Conversion Science and Engineering
Hu Chen
Faculty of Chemistry
Weidong Wu
Weiqing Chen
Kai He
Chi Zhang
Sha Cao
Jing Zhao
Dong Xu
Department of Diagnostic Ultrasound Imaging & Interventional Therapy, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou Institute of Medicine (HIM)
Guangyu Wang
Lang Li
Theory Department, Fritz-Haber-Institut der Max-Planck-Gesellschaft, Faradayweg 4-6, 14195 Berlin, Germany
Gang Xin
David P. Carbone
Zihai Li
Richard L. Carpenter
Qin Ma
School of Chemistry and Molecular Engineering, State Key Laboratory of Materials-Oriented Chemical Engineering, Nanjing Tech University, Nanjing 211816, China