Match!
Xing Chen
China University of Mining and Technology
60Publications
31H-index
3,248Citations
Publications 60
Newest
#1Ya-Wei Niu (SDU: Shandong University)H-Index: 2
#2Guanghui Wang (SDU: Shandong University)H-Index: 17
Last.Xing Chen (CUMT: China University of Mining and Technology)H-Index: 31
view all 4 authors...
In the last few decades, cumulative experimental researches have witnessed and verified the important roles of microRNAs (miRNAs) in the development of human complex diseases. Benefitting from the rapid growth both in the availability of miRNA-related data and the development of various analysis methodologies, up until recently, some computational models have been developed to predict human disease related miRNAs, efficiently and quickly. In this work, we proposed a computational model of Random...
2 CitationsSource
#1Xing Chen (CUMT: China University of Mining and Technology)H-Index: 31
#2Chi-Chi Zhu (CUMT: China University of Mining and Technology)H-Index: 1
Last.Jun Yin (CUMT: China University of Mining and Technology)H-Index: 4
view all 3 authors...
In recent years, increasing associations between microRNAs (miRNAs) and human diseases have been identified. Based on accumulating biological data, many computational models for potential miRNA-disease associations inference have been developed, which saves time and expenditure on experimental studies, making great contributions to researching molecular mechanism of human diseases and developing new drugs for disease treatment. In this paper, we proposed a novel computational method named Ensemb...
1 CitationsSource
#1Xing Chen (CUMT: China University of Mining and Technology)H-Index: 31
#2Ya-Zhou Sun (SZU: Shenzhen University)H-Index: 5
Last.Jia Meng (Xi'an Jiaotong-Liverpool University)H-Index: 14
view all 6 authors...
12 CitationsSource
#1Lei Wang (CAS: Chinese Academy of Sciences)H-Index: 1
#2Zhu-Hong You (CAS: Chinese Academy of Sciences)H-Index: 31
Last.Kai Zheng (CAS: Chinese Academy of Sciences)H-Index: 1
view all 7 authors...
Emerging evidence has shown microRNAs (miRNAs) play an important role in human disease research. Identifying potential association among them is significant for the development of pathology, diagnose and therapy. However, only a tiny portion of all miRNA-disease pairs in the current datasets are experimentally validated. This prompts the development of high-precision computational methods to predict real interaction pairs. In this paper, we propose a new model of Logistic Model Tree for predicti...
13 CitationsSource
#1Xing Chen (CUMT: China University of Mining and Technology)H-Index: 31
#2Di Xie (Liaoning University)H-Index: 4
Last.Zhu-Hong You (CAS: Chinese Academy of Sciences)H-Index: 31
view all 4 authors...
90 CitationsSource
#1Xing Chen (CUMT: China University of Mining and Technology)H-Index: 31
#2Ya-Zhou Sun (SZU: Shenzhen University)H-Index: 5
Last.Jianqiang Li (SZU: Shenzhen University)H-Index: 22
view all 7 authors...
15 CitationsSource
#1Xing Chen (CUMT: China University of Mining and Technology)H-Index: 31
#2Na-Na Guan (SZU: Shenzhen University)H-Index: 5
Last.Jia Qu (CUMT: China University of Mining and Technology)H-Index: 6
view all 5 authors...
14 CitationsSource
#1Xing Chen (CUMT: China University of Mining and Technology)H-Index: 31
#2Di Xie (Liaoning University)H-Index: 4
Last.Hongsheng Liu (Liaoning University)H-Index: 11
view all 6 authors...
Motivation: A large number of resources have been devoted to exploring the associations between microRNAs (miRNAs) and diseases in the recent years. However, the experimental methods are expensive and time-consuming. Therefore, the computational methods to predict potential miRNA-disease associations have been paid increasing attention. Results: In this paper, we proposed a novel computational model of Bipartite Network Projection for MiRNA-Disease Association prediction (BNPMDA) based on the kn...
78 CitationsSource
#1Xing Chen (CUMT: China University of Mining and Technology)H-Index: 31
#2Jun-Yan Cheng (WUST: Wuhan University of Science and Technology)H-Index: 1
Last.Jun Yin (CUMT: China University of Mining and Technology)H-Index: 1
view all 3 authors...
ABSTRACTThe development and progression of numerous complex human diseases have been confirmed to be associated with microRNAs (miRNAs) by various experimental and clinical studies. Predicting pote...
7 CitationsSource
#1Xing Chen (CUMT: China University of Mining and Technology)H-Index: 31
#2Jun Yin (CUMT: China University of Mining and Technology)H-Index: 4
Last.Li Huang (NUS: National University of Singapore)H-Index: 3
view all 4 authors...
Recently, a growing number of biological research and scientific experiments have demonstrated that microRNA (miRNA) affects the development of human complex diseases. Discovering miRNA-disease associations plays an increasingly vital role in devising diagnostic and therapeutic tools for diseases. However, since uncovering associations via experimental methods is expensive and time-consuming, novel and effective computational methods for association prediction are in demand. In this study, we de...
61 CitationsSource
123456