Result: The performance of deep generative models for learning joint embeddings of single-cell multi-omics data

*Title*:

*Author/editor-in-chief*:

*Publication*:

Freiburg : Universität, 2022

*Physical description scale*:

1 Online-Ressource

*Format*:

*eBook*

*Language*:

*eng*

*Notes*:

Frontiers in molecular biosciences. - 9 (2022) , 962644, ISSN: 2296-889X

*DOI*:

10.3389/fmolb.2022.962644

*Result*: The performance of deep generative models for learning joint embeddings of single-cell multi-omics data