Intercode - Interpretable Autoencoder

Intercode is a package to learn interpretable latent representation of single-cell data. Intercode contains the implementation of the autoencoder which forces latent dimensions to correspond to predefined gene sets.

Usage and installation

Intercode requires pytorch, numpy and anndata.

Install with pip

pip install intercode

See the notebooks for the examples.

Read the preprint for description.