wanghongjun
Research Associate
|
Supervisor of Master's Candidates
- Master Tutor
- Education Level:PhD graduate
- Degree:Doctor of engineering
- Business Address:犀浦3号教学楼31529
- Professional Title:Research Associate
- Alma Mater:四川大学
- Supervisor of Master's Candidates
- School/Department:计算机与人工智能学院
- Discipline:Electronic Information
Software Engineering
Computer Application Technology
Contact Information
- PostalAddress：
- Email：
- Paper Publications
RapidMic: Rapid Computation of the Maximal Information Coefficient
- Impact Factor:2.031
- DOI number:10.4137/EBO.S13121
- Affiliation of Author(s):西南交通大学
- Journal:Evolutionary Bioinformatics
- Place of Publication:NEW ZEALAND
- Key Words:algorithms, gene expression, software, computational biology, statistical analysis
- Abstract:To discover relationships and associations rapidly in large-scale datasets, we propose a cross-platform tool for the rapid computation of the maximal information coefficient based on parallel computing methods. Through parallel processing, the provided tool can effectively analyze large-scale biological datasets with a markedly reduced computing time. The experimental results show that the proposed tool is notably fast, and is able to perform an all-pairs analysis of a large biological dataset using a normal computer. The source code and guidelines can be downloaded from
- Co-author:Mingwen Wang, Weifan Zheng,Hongjun Wang
- First Author:Dongming Tang
- Indexed by:Academic papers
- Correspondence Author:Jike Cui
- Document Code:000331262100001
- Discipline:Engineering
- First-Level Discipline:Computer Science and Technology
- Volume:Volume: 10
- ISSN No.:1176-9343
- Translation or Not:no
- Date of Publication:2014-02-06