diff --git a/README.md b/README.md
index 3016f8e..ec2ec83 100644
--- a/README.md
+++ b/README.md
@@ -8,7 +8,7 @@ Email: eric.johnson643@gmail.com
 
 **E**mpirical **M**arginal resampling **B**etter **E**valuates **D**imensionality **R**eduction, or **EMBEDR**, is a method for evaluating the extent to which an embedding generated by a dimensionality reduction algorithm contains structures that are more similar to the structures in the high-dimensional space than we expect by random chance.  The method applies the concept of an empirical hypothesis test, where a null distribution for a sample statistic is generated via marginal resampling, in order to estimate whether samples are better-embedded than a given DRA might do by chance.
 
-For complete details, see our [preprint](https://www.biorxiv.org/content/10.1101/2020.11.18.389031v2).
+For complete details, see our [publication](https://doi.org/10.1016/j.patter.2022.100443).
 
 ## Installation