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deicode's Introduction

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DEICODE is a tool box for running Robust Aitchison PCA on sparse compositional omics datasets, linking specific features to beta-diversity ordination.

Installation

To install the most up to date version of deicode, run the following command

# pip (only supported for Qiime >= 2018.8)
pip install deicode

# conda (only supported for Qiime >= 2019.1)
conda install -c conda-forge deicode 

Note: that deicode is not compatible with python 2, and is compatible with Python 3.4 or later. deicode is currently in alpha. We are actively developing it, and backward-incompatible interface changes may arise.

Qiime2 tutorial

Note: the official plugin docs and tutorial can be found here.

Other Resources

  • The code for OptSpace was translated to python from a MATLAB package maintained by Sewoong Oh (UIUC).
  • Transforms and PCoA : Scikit-bio
  • Data For Examples : Qiita

Simulation and Benchmarking

deicode's People

Contributors

cameronmartino avatar mortonjt avatar justinshaffer avatar lisa55asil avatar

Watchers

James Cloos avatar Justin van der Hooft avatar

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