CINOEDV specifications

Information


Unique identifier OMICS_12080
Name CINOEDV
Alternative name Co-Information based N-Order Epistasis Detector and Visualizer
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 2.0
Computer skills Advanced
Version 2.0
Stability Stable
Requirements MATLAB, igraph, ggplot2, reshape2
Maintained Yes

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Maintainer


  • person_outline Junliang Shang <>

Publication for Co-Information based N-Order Epistasis Detector and Visualizer

CINOEDV institution(s)
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
CINOEDV funding source(s)
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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