canova Files

# Citation:

Wang Y, Li Y, Cao H, et al. Efficient test for nonlinear dependence of two continuous variables[J]. BMC bioinformatics, 2015, 16(1): 260.


# CANOVA C++ version usage:

# Firstly, you should unzip the "canova_software_and_manual.zip".

# Secondly and lastly, you should type in the command "chmod 777 canova" in a terminal window of Linux system.

# Congratulations ! Now you can use our canova software according to our "CANOVA_Manual.pdf".

# We also uploaded a tutorial of CANOVA: CANOVA_Tutorial.zip; and users can use the bash command canova.sh to run the examples to understand CANOVA better.

# We also developed the CANOVA R package: canova_0.1.0.zip and canova_0.1.0.tar.gz. 

# The installation instructions and R source codes of CANOVA package can also be found in github: 

# URL: https://github.com/liyistat/canova

# We also developed the CANOVA python tools, which can also be found in github:

# URL: https://github.com/liyistat/Canova-python

# Enjoy ! Thanks.

Contact us: liyistat@gmail.com; godspeed_china@yeah.net;