Associate professor
Supervisor of Master's Candidates
E-Mail:
Date of Employment:2009-12-14
School/Department:信息学院
Education Level:博士研究生毕业
Business Address:厦门大学翔安校区西部片区6号楼(睿信楼)202室
Gender:Male
Contact Information:yunfengwu@xmu.edu.cn
Degree:Doctor of Engineering (D.Eng.)
Status:在职
Alma Mater:北京邮电大学
Discipline:生物医学工程
信号与信息处理
Academic Honor:
2013 Outstanding talents in the new century
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Hits:
DOI number:10.1016/j.compbiomed.2013.12.007
Journal:Computers in Biology and Medicine
Abstract:MicroRNA (miRNA) family is a group of miRNAs that derive from the common ancestor. Normally, members from the same miRNA family have similar physiological functions; however, they are not always conserved in primary sequence or secondary structure. Proper family prediction from primary sequence will be helpful for accurate identification and further functional annotation of novel miRNA. Therefore, we introduced a novel machine learning-based web server, the miRCIassify, which can rapidly identify miRNA from the primary sequence and classify it into a miRNA family regardless of similarity in sequence and structure. Additionally, the medical implication of the miRNA family is also provided when it is available in PubMed. The web server is accessible at the link http://datamining.xmu.edu.cn/software/MIR/home.html.
Co-author:Yaozong Mao,Lingling Hu,Yunfeng Wu
First Author:Quan Zou*
Indexed by:Article
Correspondence Author:Zhiliang Ji*
Volume:45
Issue:1
Page Number:157-160
Translation or Not:no
Date of Publication:2014-02-01
Included Journals:SCI
Links to published journals:https://doi.org/10.1016/j.compbiomed.2013.12.007