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 # Portal
 An efficient, accurate and flexible method for single-cell data integration.
 
-Preprint: [Adversarial domain translation networks enable fast and accurate large-scale atlas-level single-cell data integration](https://www.biorxiv.org/content/10.1101/2021.11.16.468892v1).
+Preprint: [Adversarial domain translation networks for fast and accurate integration of large-scale atlas-level single-cell datasets](https://www.biorxiv.org/content/10.1101/2021.11.16.468892v2).
 
 ## Reproducibility
 We provide [source codes](https://github.com/jiazhao97/Portal-reproducibility) for reproducing the experiments of the paper "Adversarial domain translation networks enable fast and accurate large-scale atlas-level single-cell data integration".
@@ -87,4 +87,4 @@ We provide demos for users to get a quick start: [Demo 1](https://jiazhao97.gith
 This package is developed by Jia Zhao (jzhaoaz@connect.ust.hk) and Gefei Wang (gwangas@connect.ust.hk). 
 
 ## Citation
-Jia Zhao, Gefei Wang, Jingsi Ming, Zhixiang Lin, Yang Wang, Tabula Microcebus Consortium, Angela Ruohao Wu, Can Yang. Adversarial domain translation networks enable fast and accurate large-scale atlas-level single-cell data integration. bioRxiv 2021.11.16.468892; doi: [https://doi.org/10.1101/2021.11.16.468892](https://doi.org/10.1101/2021.11.16.468892).
+Jia Zhao, Gefei Wang, Jingsi Ming, Zhixiang Lin, Yang Wang, The Tabula Microcebus Consortium, Angela Ruohao Wu, Can Yang. Adversarial domain translation networks for fast and accurate integration of large-scale atlas-level single-cell datasets. bioRxiv 2021.11.16.468892; doi: [https://doi.org/10.1101/2021.11.16.468892](https://doi.org/10.1101/2021.11.16.468892).