https://github.com/biocore/dsfdr

descrete False Discovery Rate method
https://github.com/biocore/dsfdr

microbiome statistics

Last synced: about 1 month ago
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descrete False Discovery Rate method

• Host: GitHub
• URL: https://github.com/biocore/dsfdr
• Owner: biocore
• Created: 2017-03-21T21:48:02.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2019-08-15T08:11:04.000Z (over 5 years ago)
• Last Synced: 2023-10-20T18:15:38.484Z (about 1 year ago)
• Topics: microbiome, statistics
• Language: Python
• Size: 36.7 MB
• Stars: 3
• Watchers: 8
• Forks: 6
• Open Issues: 3
• Metadata Files:
  • Readme: README.md

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README

        
# DiscreteFDR

[![Build Status](https://travis-ci.org/biocore/dsFDR.svg?branch=master)](https://travis-ci.org/biocore/dsFDR)

Discrete FDR procedure for microbiome data analysis

Install

=======

Create a [conda](http://conda.pydata.org/docs/install/quick.html) environment for calour:

```

conda create -n dsfdr python=3.5 numpy scipy jupyter scikit-learn scikit-bio statsmodels

```

and activate it using:

```

source activate dsfdr

```

Install dsfdr:

```

pip install git+git://github.com/biocore/dsFDR.git