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README.md

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netZooM is a MATLAB package of network methods.
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## Zoo animals
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PANDA, LIONESS, PUMA, SPIDER, and optPANDA.
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(gpu)PANDA, (gpu)LIONESS, PUMA, SPIDER, and optPANDA.
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## Quick guide
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`git clone https://github.com/netZoo/netZooM.git` into your local disk.
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docs/_build/html/.buildinfo

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# Sphinx build info version 1
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# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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config: 01a9025aa3cdb89dfac98311664e22a1
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config: 3cbe1e0006f5a8207147f1ee802822b3
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tags: 645f666f9bcd5a90fca523b33c5a78b7

docs/_build/html/_sources/changelog.rst.txt

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Changelog
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==========
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* :feature:`-` added differential targeting tutorial
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* :release:`0.1.0 <2019-6-28>`
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* :feature:`-` Changelog added to the doc
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0.4.3 (2019-03-01)
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------------------
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- gpuPANDA and gpuLIONESS
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- gpuPANDA and gpuLIONESS tutorials
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0.4.2 (2019-01-09)
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------------------
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- optPANDA
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- optPANDA tutorial
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0.4.1 (2019-01-01)
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------------------
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- Cross-plateform haramonization of PANDA behavior.
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- Data processing was set to 'Union' by default.
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0.4.0 (2019-11-19)
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------------------
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- SPIDER
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0.3.0 (2019-11-17)
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------------------
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- PUMA
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- differential targeting tutorial
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- GRAND database tutorial
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0.2.0 (2019-11-13)
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------------------
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- LIONESS
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- PANDA tutorial
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- LIONESS tutorial
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0.1.0 (2019-5-28)
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------------------
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- Changelog added to the doc
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- PANDA

docs/_build/html/_sources/install/index.md.txt

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## Install
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- git clone https://github.com/netZoo/netZooM.git
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- `git clone https://github.com/netZoo/netZooM.git`
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- In MATLAB console, add netZooM to your path:
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- `addpath(genpath('netZooM'))`
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- In MATLAB console, add netZooM to your path through `addpath(genpath('netZooM'))`
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## Troubleshooting
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docs/_build/html/_sources/tutos/index.md.txt

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- [Reconstruction of gene regulatory networks using PANDA](https://github.com/netZoo/netZooM/tree/master/tutorials/panda)
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- [Generating single-sample gene regulatory networks using LIONESS](https://github.com/netZoo/netZooM/tree/master/tutorials/lioness)
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- [Differential targeting analysis using PANDA and LIONESS](https://github.com/netZoo/netZooM/tree/devel/tutorials/differential_targeting)
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- [Using GRAND database's API for reproducible network reconstruction](https://github.com/netZoo/netZooM/tree/devel/tutorials/grand_db)
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- [Accurate reconstruction of gene regulatory networks using optPANDA](https://github.com/netZoo/netZooM/tree/devel/tutorials/opt_panda)
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- [gpuPANDA and gpuLIONESS: Accelerated inference of gene regulatory networks using the Graphical Processing Unit](https://github.com/netZoo/netZooM/tree/devel/tutorials/gpu_panda_lioness)

docs/_build/html/_static/documentation_options.js

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var DOCUMENTATION_OPTIONS = {
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URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'),
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VERSION: '0.1',
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VERSION: '0.2',
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LANGUAGE: 'None',
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COLLAPSE_INDEX: false,
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FILE_SUFFIX: '.html',

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