Explore MOFA+ models with mofax in your browser. Powered by Dash from plotly.

See more on MOFA+ here. See more on Dash apps here.

This library offers an interactive web dashboard to explore trained MOFA+ models and investigate latent factors and original features that drive variation in your data. Built on top of mofax, it makes it possible to work with fairly large models, which is especially important for single-cell omics data with increasingly large numbers of cells being profiled.

pip install git+https://github.com/gtca/mofax-dash

Provide a trained MOFA+ model when calling mofax to open it in a web dashboard:

mofax mofa_model.hdf5

To provide more efficiency when working with large datasets and large models, the data is not uploaded to the web browser (as in the MOFA+ shiny app), and a connection to the HDF5 file is created by the server instead.