From 98ca074c2e22dde2e0f598c3e88f9ed840f024aa Mon Sep 17 00:00:00 2001 From: ZHAO Jia <45305585+jiazhao97@users.noreply.github.com> Date: Mon, 18 Apr 2022 23:10:18 +0800 Subject: [PATCH] Update README.md --- README.md | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index c99408c..caf4ac9 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,5 @@ # Portal-reproducibility -Codes for reproducing the experiments of the paper "Adversarial domain translation networks enable fast and accurate large-scale atlas-level single-cell data integration". +Codes for reproducing the experiments of the paper "Adversarial domain translation networks for fast and accurate integration of large-scale atlas-level single-cell datasets". [Portal package](https://github.com/YangLabHKUST/Portal). + [Integration of mouse spleen datasets](https://htmlpreview.github.io/?https://github.com/jiazhao97/Portal-reproducibility/blob/main/Reproduce-Spleen.html) (we reproduce the result of performance metrics in this notebook as an example). [Benchmarking](https://htmlpreview.github.io/?https://github.com/jiazhao97/Portal-reproducibility/blob/main/Benchmarking-Spleen.html). + [Integration of mouse marrow datasets](https://htmlpreview.github.io/?https://github.com/jiazhao97/Portal-reproducibility/blob/main/Reproduce-Marrow.html). @@ -14,3 +14,10 @@ Codes for reproducing the experiments of the paper "Adversarial domain translati + [Integration of scRNA-seq and scATAC-seq datasets](https://htmlpreview.github.io/?https://github.com/jiazhao97/Portal-reproducibility/blob/main/Reproduce-PBMC-ATACseq.html). + [Integration of developmental trajectories](https://htmlpreview.github.io/?https://github.com/jiazhao97/Portal-reproducibility/blob/main/Reproduce-trajectory.html). + [Integration of spermatogenesis differentiation process across multiple species](https://htmlpreview.github.io/?https://github.com/jiazhao97/Portal-reproducibility/blob/main/Reproduce-Spermatogenesis.html). Gene lists from Ensembl Biomart (we only use genes that are assigned with the type "ortholog_one2one" in the lists): [orthologues (human vs mouse)](https://github.com/jiazhao97/Portal-reproducibility/raw/main/orthologues_human_mouse.txt), [orthologues (human vs macaque)](https://github.com/jiazhao97/Portal-reproducibility/raw/main/orthologues_human_macaque.txt). + +## Portal Package +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). + + +## Citation +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).