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| author | Calvin Morrison <mutantturkey@gmail.com> | 2013-08-22 10:53:56 -0400 |
|---|---|---|
| committer | Calvin Morrison <mutantturkey@gmail.com> | 2013-08-22 10:53:56 -0400 |
| commit | 0fe82b9151d2a71053659336120e37f3a1124570 (patch) | |
| tree | c5b3c75b01858a768fc0353ce4d3a955e86c6b62 | |
| parent | 0c3b2c6c7ca3b2bb597bc77a64575ef6e744415f (diff) | |
Add link to fizzy qiimev1.0
| -rw-r--r-- | README.markdown | 3 |
1 files changed, 2 insertions, 1 deletions
diff --git a/README.markdown b/README.markdown index aaa36f2..7456ad4 100644 --- a/README.markdown +++ b/README.markdown @@ -10,7 +10,8 @@ to enable researchers to utilize these feature selection algorithms in Python was only natural. At Drexel University's [EESI Lab](http://www.ece.drexel.edu/gailr/EESI/), we are using PyFeast to create a feature -selection tool for the Department of Energy's upcoming KBase platform. +selection tool for the Department of Energy's upcoming KBase platform. We are also integrating a tool that utilizes +PyFeast as a script for Qiime users: [Qiime Fizzy Branch](https://github.com/EESI/FizzyQIIME) ## Requirements In order to use the feast module, you will need the following dependencies |