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13 changes: 5 additions & 8 deletions README.rst
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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.
Intercode learns interpretable representations of scRNA-seq by regularizing a latent autoencoder space with knowledge encoded in gene sets.

Usage and installation
--------------------------------------
----------------------
Intercode requires pytorch, numpy and anndata.

Install with pip
Expand All @@ -15,6 +13,5 @@ Install with pip

pip install intercode

See `the notebooks <https://github.com/theislab/intercode/tree/main/notebooks>`_ for the examples.

Read `the preprint <https://www.biorxiv.org/content/10.1101/2020.12.02.401182v1>`_ for description.
* See `the tutorials <https://github.com/theislab/intercode-tutorials>`__ for the examples.
* Read `the preprint <https://www.biorxiv.org/content/10.1101/2020.12.02.401182v1>`__.