Welcome to EpiPack’s documentation!

epipackpy implements the EpiPack computational framework for single-cell ATAC-seq data integration, reference mapping and cell type annotation.

EpiPack leverages a heterogeneous transfer learning framework that accepts gene activity score matrix as bridge and peak embeddings as source information to integrate multi-batch references to construct the cell atlas and transfer cell labels on the common latent space without peak alignment.

To get started with epipackpy, check out the installation guide and tutorials.