An open-source Python package for analyzing and integrating scRNA-Seq data using PCA-based latent spaces.

Datasets from the Monet paper (Wagner, 2020) can be found in a separate repository.

Additional documentation is in the works! For questions and requests, please create an "issue" on GitHub.

To install Monet, please first use conda to install the packages pandas, scipy, scikit-learn, and plotly. If you are new to conda, you can either install Anaconda, which includes all of the aforementioned packages, or you can install miniconda and then manually install these packages. I also recommend using Jupyter electronic notebooks to analyze scRNA-Seq data, which requires installation of the jupyter package (also with conda).

Once these dependencies are installed, you can install Monet using pip:

pip install monet

Copyright (c) 2020 Florian Wagner

Monet is licensed under an OSI-compliant 3-clause BSD license. For details, see LICENSE.