Identifying RNA-binding proteins using multi-label deep learning

作     者：Xiaoyong PAN Yong-Xian FAN Jue JIA Hong-Bin SHEN 

作者机构：Department of Medical Informatics Erasmus MC Guangxi Key Laboratory of Trusted Software Guilin University of Electronic Technology Affiliated Hospital of Jiangsu University Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2019年第62卷第1期

页      面：217-219页

核心收录：

学科分类：0710[理学-生物学] 12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 081104[工学-模式识别与智能系统] 08[工学] 071007[理学-遗传学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by National Natural Science Foundation of China (Grant Nos. 61725302, 61671288, 61603161, 61462018, 61762026, 81500351) Science and Technology Commission of Shanghai Municipality (Grant Nos. 16JC1404300, 17JC1403500) Jiangsu Province’s Young Medical Talents Project (Grant No. QNRC2016842) “5123 Talents Project” of Affiliated Hospital of Jiangsu University (Grant No. 51232017305) 

主　　题：RBP RNA Identifying RNA-binding proteins using multi-label deep learning 

摘      要：Dear editor,RNA-binding proteins (RBPs) are involved in both transcriptional and post-transcriptional gene regulation, such as RNA splicing and localization. In addition, their dysregulations are closely associated with many diseases [1]. For example, mutations in the RBPs FUS and TDP-43that can cause amyotrophic lateral sclerosis [2].