- Unique identifier:
- Software type:
- Restrictions to use:
- Programming languages:
- Computer skills:
- Co-Information based N-Order Epistasis Detector and Visualizer
- Command line interface
- Operating system:
- Unix/Linux, Mac OS, Windows
- GNU General Public License version 2.0
- MATLAB, igraph, ggplot2, reshape2
- Junliang Shang <>
No open topic.
(Shang et al., 2016)
CINOEDV: a co-information based method for detecting and visualizing n-order epistatic interactions.
PMID: 27184783 DOI: 10.1186/s12859-016-1076-8
School of Information Science and Engineering, Qufu Normal University, Rizhao, China; Institute of Network Computing, Qufu Normal University, Rizhao, China; Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China; Institute of Health Sciences, Anhui University, Hefei, Anhui, China; School of Computer Science and Technology, Xidian University, XI'an, China; College of Electrical Engineering and Automation, Anhui University, Hefei, Anhui, China
This work was supported by the National Natural Science Foundation of China (61502272, 61572284, 61572283), the Scientific Research Reward Foundation for Excellent Young and Middle-age Scientists of Shandong Province (BS2014DX004), the Opening Laboratory Fund of Qufu Normal University (sk201416), the Science and Technology Planning Project of Qufu Normal University (xkj201410), the Shenzen Municipal Science and Technology Innovation Council (No. JCYJ20140417172417174), and the Scientific Research Foundation of Qufu Normal University (BSQD20130119).
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