{ "info": { "author": "Florian Wagner", "author_email": "florian.wagner@nyu.edu", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "License :: Other/Proprietary License", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Topic :: Scientific/Engineering :: Bio-Informatics" ], "description": "## Moana: A robust and scalable cell type classification framework for single-cell RNA-Seq data\n\nThis repository contains a Python implementation of the Moana framework for predicting cell types in single-cell RNA-Seq data ([Wagner and Yanai, 2018](https://www.biorxiv.org/content/early/2018/04/09/217737)).\n\n### Installation\n\n#### Step 1: Install Python and the Python packages that Moana depends on\n\nMoana requires Python version 3.5, 3.6, or 3.7, as well as the Python packages *pandas*, *scikit-learn*, and *plotly*.\n\nThe easiest way to install Python as well as these packages is to [download and install Anaconda](https://www.anaconda.com/download). Anaconda is a distribution of Python that already includes a lot of packages, including pandas, scikit-learn, and plotly. Alternatively, you can [download and install Miniconda](https://conda.io/miniconda.html), and use the *conda* command to create a new Python 3 environment and install the required packages. The latter option takes up less disk space but also requires some knowledge of how to use conda, the package/environment manager that underlies both Anaconda and Miniconda.\n\n#### Step 2: Install Moana\n\nTo install Moana, make sure you have activated/selected the correct conda environment, and then type:\n\n```console\n$ pip install moana\n```\n\n### Changelog\n\n#### 10/30/2018 - Version 0.1.1 released\n\nThis is the initial release of **Moana**. We used this version to construct the cell type classifiers described in our preprint. 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