Update README.md

README.md

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 # scCODA - Single-cell differential composition analysis 
 scCODA allows for identification of compositional changes in high-throughput sequencing count data, especially cell compositions from scRNA-seq.
 It also provides a framework for integration of cell-type annotated data directly from [scanpy](https://scanpy.readthedocs.io/en/stable/) and other sources.
-Aside from the scCODA model (Büttner, Ostner *et al* (2020)), the package also allows the easy application of other differential testing methods.
+Aside from the scCODA model (Büttner, Ostner *et al* (2021)), the package also allows the easy application of other differential testing methods.
 
 ![scCODA](.github/Figures/Figure1.png)