PROCEEDINGS 2018 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM)
ISSN：
2156-1125
年：
2018
页码：
193-196
会议名称：
IEEE International Conference on Bioinformatics and Biomedicine (BIBM) - Human Genomics
会议论文集名称：
IEEE International Conference on Bioinformatics and Biomedicine-BIBM
会议时间：
DEC 03-06, 2018
会议地点：
Madrid, SPAIN
会议主办单位：
[Ma, Yingjun] Cent China Normal Univ, Sch Math & Stat, Wuhan, Hubei, Peoples R China.^[Yu, Limin;He, Tingting;Hu, Xiaohua;Jiang, Xingpeng] Cent China Normal Univ, Sch Comp, Wuhan, Hubei, Peoples R China.
会议赞助商：
Ulster Univ, Univ Granada, Univ Carlos III Madrid, TCCLS, IEEE, IEEE Comp Soc, Natl Sci Fdn, Syst Med, Mary Ann Liebert Inc publishers
主编：
Zheng, H Callejas, Z Griol, D Wang, H Hu, X Schmidt, H Baumbach, J Dickerson, J Zhang, L
出版地：
345 E 47TH ST, NEW YORK, NY 10017 USA
出版者：
IEEE
ISBN：
978-1-5386-5488-0
基金类别：
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61532008, 61872157]; National Key Research and Development Program of China [2017YFC0909502]
机构署名：
本校为第一且通讯机构
院系归属：
数学与统计学学院
计算机学院
摘要：
Long non-coding RNA (1ncRNA) has a close relationship with multiple biological processes and complex diseases. Generally speaking, it functions through the interaction with corresponding RNA-binding proteins. However, it is costly and time-consuming to use experimental methods to detect IncRNA-protein interactions. Network-based prediction methods have been developed recently, but very few methods consider the integration of multiple features and the non-linear relationship of IncRNAs (proteins). In this paper, we propose a kernel-based soft-neighborhood propagation algorithm (LKSNS) to predic...
