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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>