Robust Aitchison compositional biplots from sparse count data
Project description
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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](https://library.qiime2.org/plugins/q2-deicode).
[Sleep Apnea Biplots](https://github.com/biocore/DEICODE/blob/master/ipynb/sleep_apnea/SleepApnea-qiime2-tutorial.md)
## Other Resources
[What is Robust Aitchison RPCA](https://github.com/biocore/DEICODE/blob/master/ipynb/introduction.ipynb)
The code for OptSpace was translated to python from a [MATLAB package](http://swoh.web.engr.illinois.edu/software/optspace/code.html) maintained by Sewoong Oh (UIUC).
Transforms and PCoA : [Scikit-bio](http://scikit-bio.org)
Data For Examples : [Qiita](https://qiita.ucsd.edu/)
#### Simulation and Benchmarking
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