From 09ce03fce82bc401032dd94db4ec0bf4f5c33b98 Mon Sep 17 00:00:00 2001
From: "Dr. FAN, Xiaohui" <53822310+ZJUFanLab@users.noreply.github.com>
Date: Tue, 14 Apr 2020 13:09:43 +0800
Subject: [PATCH] Update README.md

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 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 68933f0..78f90d4 100644
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@@ -18,7 +18,7 @@ The scCATCH mainly includes two function `findmarkergenes` and `scCATCH` to real
 # Cite
 [![DOI](https://img.shields.io/badge/DOI-10.1016%2Fj.isci.2020.100882-brightgreen.svg)](https://www.sciencedirect.com/science/article/pii/S2589004220300663) [![PMID:32062421](https://img.shields.io/badge/PMID-32062421-blue.svg)](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7031312/)
 
-Shao et al., scCATCH:Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data, Volume 23, Issue 3, 27 March 2020. [doi: 10.1016/j.isci.2020.100882](https://www.sciencedirect.com/science/article/pii/S2589004220300663). PMID:[32062421](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7031312/)
+Shao et al., scCATCH:Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data, iScience, Volume 23, Issue 3, 27 March 2020. [doi: 10.1016/j.isci.2020.100882](https://www.sciencedirect.com/science/article/pii/S2589004220300663). PMID:[32062421](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7031312/)
 
 # <a name='devtools'>News</a>
 <font size = 3>1. scCATCH can handle large single-cell transcriptomic dataset containing more than __10,000 cells__ and more than __15 clusters.__</font>