Moana: A robust and scalable cell type classification framework for single-cell RNA-Seq data.
Moana: A robust and scalable cell type classification framework for single-cell RNA-Seq data
This repository contains a Python implementation of the Moana framework for predicting cell types in single-cell RNA-Seq data (Wagner and Yanai, 2018).
Step 1: Install Python and the Python packages that Moana depends on
Moana requires Python version 3.5, 3.6, or 3.7, as well as the Python packages pandas, scikit-learn, and plotly.
The easiest way to install Python as well as these packages is to download and install Anaconda. 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, 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.
Step 2: Install Moana
To install Moana, make sure you have activated/selected the correct conda environment, and then type:
$ pip install moana
10/30/2018 - Version 0.1.1 released
This is the initial release of Moana. We used this version to construct the cell type classifiers described in our preprint. Additional documentation is forthcoming.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size moana-0.1.1-py3-none-any.whl (80.6 kB)||File type Wheel||Python version py3||Upload date||Hashes View hashes|
|Filename, size moana-0.1.1.tar.gz (56.3 kB)||File type Source||Python version None||Upload date||Hashes View hashes|