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README.txt 2018-11-23 1.1 kB
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knnAUC_3.0.2.tar.gz 2018-10-17 3.2 kB
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# Citation: Yi Li*, Xiaoyu Liu*, Yanyun Ma*, Yi Wang, Weichen Zhou, Meng Hao, Zhenghong Yuan, Jie Liu, Momiao Xiong, Yin Yao Shugart#, Jiucun Wang# and Li Jin#. "knnAUC: an open-source R package for detecting nonlinear dependence between one continuous variable and one binary variable" BMC Bioinformatics, 2018. 19:448. https://doi.org/10.1186/s12859-018-2427-4 (*first author, #corresponding author).

# Source code in Github: https://github.com/liyistat/knnAUC

# We  developed the knnAUC R package: knnAUC_3.0.2.zip and knnAUC_3.0.2.tar.gz. 
  The knnAUC_3.0.2.zip R package is for Windows.
  The knnAUC_3.0.2.tar.gz R package is for Linux.

# knnAUC_3.0.2 R Package install and useage:
  Before install the knnAUC R package, you should firstly install its depending packages: ROCR,verification,compiler,RWeka,data.table,purrr.
  For example, run install.packages("ROCR") in R environment ...
  Once you installed the knnAUC R package, you can see its help files to learn how to use it: ?knnAUC in R environment ...

# If you still have questions, please contact me by email: liyistat@gmail.com
# Enjoy ! Thanks.
Source: README.txt, updated 2018-11-23